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Dr. Manuel Herrera
University of Cambridge

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Research Keywords & Expertise

0 Critical Infrastructure Protection
0 Deep Learning
0 Complex Network Analysis
0 Hydroinformatics
0 Risk and Resilience

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Water Distribution Systems
Deep Learning
Hydroinformatics
Time Series Analysis and Forecasting

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Original research paper
Published: 21 March 2021 in IET Collaborative Intelligent Manufacturing
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Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory‐based prognostics module employing the Weibull time‐to‐event recurrent neural network was deployed in which prognostics competence was enhanced by predicting the parameters of failure distribution. In conjunction with this, a new predictive maintenance (PdM) planning model was framed via a trade‐off between corrective maintenance and time lost due to PdM. This optimises maintenance time based on operational and maintenance cost parameters from the historical data. The performance of the proposed framework is demonstrated using an experimental case study on maintenance planning for cutting tools within a manufacturing facility. Systematic sensitivity analysis is provided, and the impact of imperfect prognostics information on maintenance decisions is discussed. Results show that uncertainty about prediction declines as time goes on, and as uncertainty declines, the maintenance timing becomes closer to the remaining useful life. This is expected, as the risk of making a wrong decision decreases over time.

ACS Style

Amit Kumar Jain; Maharshi Dhada; Marco Perez Hernandez; Manuel Herrera; Ajith Kumar Parlikad. A comprehensive framework from real‐time prognostics to maintenance decisions. IET Collaborative Intelligent Manufacturing 2021, 3, 175 -183.

AMA Style

Amit Kumar Jain, Maharshi Dhada, Marco Perez Hernandez, Manuel Herrera, Ajith Kumar Parlikad. A comprehensive framework from real‐time prognostics to maintenance decisions. IET Collaborative Intelligent Manufacturing. 2021; 3 (2):175-183.

Chicago/Turabian Style

Amit Kumar Jain; Maharshi Dhada; Marco Perez Hernandez; Manuel Herrera; Ajith Kumar Parlikad. 2021. "A comprehensive framework from real‐time prognostics to maintenance decisions." IET Collaborative Intelligent Manufacturing 3, no. 2: 175-183.

Journal article
Published: 10 March 2021 in Reliability Engineering & System Safety
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Near real-time monitoring and control of critical infrastructure is essential for the operation and management of cities in a world that is, today, more complex and interconnected than ever. Such an infrastructure can be represented as complex networks an some of their related indices and statistics, many of them based on the shortest paths, play a pivotal role in the decision making for public services such as internet, energy or water. Particularly, the literature has shown that shortest paths are key for resilience and criticality assessment in a water distribution systems (WDS). This paper proposes a procedure to speed-up the computation of shortest paths in a WDS, as it can straightforwardly benefit any critical infrastructure. The proposal is based on a reduced dimension of a complex network representing any critical infrastructure. Despite the consequent decrease in the number of all possible paths in the network, the main advantage and novelty of this proposal is to continue finding the exact solution for the shortest paths. Experimental results show that the procedure brings a computational-time reduction consistently over 50% and up to 90% in some cases. In addition, the paper reveals how the use of shortest paths benefits WDS operation and management, as well as playing a key role in near real-time contamination detection and leakage control.

ACS Style

Carlo Giudicianni; Manuel Herrera; Armando Di Nardo; Gabriele Oliva; Antonio Scala. The faster the better: On the shortest paths role for near real-time decision making of water utilities. Reliability Engineering & System Safety 2021, 212, 107589 .

AMA Style

Carlo Giudicianni, Manuel Herrera, Armando Di Nardo, Gabriele Oliva, Antonio Scala. The faster the better: On the shortest paths role for near real-time decision making of water utilities. Reliability Engineering & System Safety. 2021; 212 ():107589.

Chicago/Turabian Style

Carlo Giudicianni; Manuel Herrera; Armando Di Nardo; Gabriele Oliva; Antonio Scala. 2021. "The faster the better: On the shortest paths role for near real-time decision making of water utilities." Reliability Engineering & System Safety 212, no. : 107589.

Conference paper
Published: 03 March 2021 in Econometrics for Financial Applications
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Telecommunication networks are designed to route data along fixed pathways, and so have minimal reactivity to emergent loads. To service today’s increased data requirements, networks management must be revolutionised so as to proactively respond to anomalies quickly and efficiently. To equip the network with resilience, a distributed design calls for node agency, so that nodes can predict the emergence of critical data loads leading to disruptions. This is to inform prognostics models and proactive maintenance planning. Proactive maintenance needs KPIs, most importantly probability and impact of failure, estimated by criticality which is the negative impact on connectedness in a network resulting from removing some element. In this paper, we studied criticality in the sense of increased incidence of data congestion caused by a node being unable to process new data packets. We introduce three novel, distributed measures of criticality which can be used to predict the behaviour of dynamic processes occurring on a network. Their performance is compared and tested on a simulated diffusive data transfer network. The results show potential for the distributed dynamic criticality measures to predict the accumulation of data packet loads within a communications network. These measures are predicted to be useful in proactive maintenance and routing for telecommunications, as well as informing businesses of partner criticality in supply networks.

ACS Style

Yaniv Proselkov; Manuel Herrera; Ajith Kumar Parlikad; Alexandra Brintrup. Distributed Dynamic Measures of Criticality for Telecommunication Networks. Econometrics for Financial Applications 2021, 952, 421 -432.

AMA Style

Yaniv Proselkov, Manuel Herrera, Ajith Kumar Parlikad, Alexandra Brintrup. Distributed Dynamic Measures of Criticality for Telecommunication Networks. Econometrics for Financial Applications. 2021; 952 ():421-432.

Chicago/Turabian Style

Yaniv Proselkov; Manuel Herrera; Ajith Kumar Parlikad; Alexandra Brintrup. 2021. "Distributed Dynamic Measures of Criticality for Telecommunication Networks." Econometrics for Financial Applications 952, no. : 421-432.

Journal article
Published: 01 March 2021 in Sustainable Cities and Society
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The emergence of COVID-19 pandemic is causing tremendous impact on our daily lives, including the way people interact with buildings. Leveraging the advances in machine learning and other supporting digital technologies, recent attempts have been sought to establish exciting smart building applications that facilitates better facility management and higher energy efficiency. However, relying on the historical data collected prior to the pandemic, the resulting smart building applications are not necessarily effective under the current ever-changing situation due to the drifts of data distribution. This paper investigates the bidirectional interaction between human and buildings that leads to dramatic change of building performance data distributions post-pandemic, and evaluates the applicability of typical facility management and energy management applications against these changes. According to the evaluation, this paper recommends three mitigation measures to rescue the applications and embedded machine learning algorithms from the data inconsistency issue in the post-pandemic era. Among these measures, incorporating occupancy and behavioural parameters as independent variables in machine learning algorithms is highlighted. Taking a Bayesian perspective, the value of data is exploited, historical or recent, pre- and post-pandemic, under a people-focused view.

ACS Style

Xiang Xie; Qiuchen Lu; Manuel Herrera; Qiaojun Yu; Ajith Kumar Parlikad; Jennifer Mary Schooling. Does historical data still count? Exploring the applicability of smart building applications in the post-pandemic period. Sustainable Cities and Society 2021, 69, 102804 .

AMA Style

Xiang Xie, Qiuchen Lu, Manuel Herrera, Qiaojun Yu, Ajith Kumar Parlikad, Jennifer Mary Schooling. Does historical data still count? Exploring the applicability of smart building applications in the post-pandemic period. Sustainable Cities and Society. 2021; 69 ():102804.

Chicago/Turabian Style

Xiang Xie; Qiuchen Lu; Manuel Herrera; Qiaojun Yu; Ajith Kumar Parlikad; Jennifer Mary Schooling. 2021. "Does historical data still count? Exploring the applicability of smart building applications in the post-pandemic period." Sustainable Cities and Society 69, no. : 102804.

Editorial
Published: 15 February 2021 in Water
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This Editorial presents the paper collection of the Special Issue (SI) on Smart Urban Water Networks

ACS Style

Armando Di Nardo; Dominic Boccelli; Manuel Herrera; Enrico Creaco; Andrea Cominola; Robert Sitzenfrei; Riccardo Taormina. Smart Urban Water Networks: Solutions, Trends and Challenges. Water 2021, 13, 501 .

AMA Style

Armando Di Nardo, Dominic Boccelli, Manuel Herrera, Enrico Creaco, Andrea Cominola, Robert Sitzenfrei, Riccardo Taormina. Smart Urban Water Networks: Solutions, Trends and Challenges. Water. 2021; 13 (4):501.

Chicago/Turabian Style

Armando Di Nardo; Dominic Boccelli; Manuel Herrera; Enrico Creaco; Andrea Cominola; Robert Sitzenfrei; Riccardo Taormina. 2021. "Smart Urban Water Networks: Solutions, Trends and Challenges." Water 13, no. 4: 501.

Journal article
Published: 12 February 2021 in IEEE Access
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Agent-based systems have been widely used to develop industrial control systems when they are required to address issues such as flexibility, scalability and portability. The most common approach to develop such control systems is with agents embedded in a platform that provides software libraries and runtime services that ease the development process. These platforms also bring challenges to the agent-based control system engineering. For example, they might introduce default design features, such as a global directory of agents. Furthermore, agents are generally locked in a platform and depend on the platform’s available support for deployment across computing infrastructures. This paper addresses these challenges through an approach for building agent-based control systems, that relaxes the dependencies in multiagent system (MAS) platforms, through the use of container-based virtualisation. The proposed approach is elaborated via a reference architecture that enables the implementation of agents as self-contained applications that can be deployed, on-demand, in independent environments but still are able to communicate and coordinate with other agents of the control system. We built a prototype using this approach and evaluated it in the context of a case study for the supervisory control of digital network infrastructures. This case study enabled us to demonstrate feasibility of the approach and to show the flexibility, of the resulting control system, to adopt several topologies as well as to operate at different scales, over emulated networks. We also concluded that designing agents as individual deployment units is also cost-effective especially in control scenarios with low number of stable agents.

ACS Style

Marco Perez Hernandez; Duncan Mcfarlane; Ajith Kumar Parlikad; Manuel Herrera; Amit Kumar Jain. Relaxing Platform Dependencies in Agent-Based Control Systems. IEEE Access 2021, 9, 30511 -30527.

AMA Style

Marco Perez Hernandez, Duncan Mcfarlane, Ajith Kumar Parlikad, Manuel Herrera, Amit Kumar Jain. Relaxing Platform Dependencies in Agent-Based Control Systems. IEEE Access. 2021; 9 (99):30511-30527.

Chicago/Turabian Style

Marco Perez Hernandez; Duncan Mcfarlane; Ajith Kumar Parlikad; Manuel Herrera; Amit Kumar Jain. 2021. "Relaxing Platform Dependencies in Agent-Based Control Systems." IEEE Access 9, no. 99: 30511-30527.

Journal article
Published: 08 January 2021 in IEEE Access
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This article proposes a framework to analyse traffic-data processes on a long-haul backbone infrastructure network providing internet services at a national level. This type of network requires low latency and fast speed, which means there is a large demand for research focusing on near real-time decision-making and resilience assessment. To this aim, this article proposes two innovative, complementary procedures: a multi-view approach for the topology analysis of a backbone network at a static level and a time-series mining approach of the graph signal for modelling the traffic dynamics. The combined framework provides a deeper understanding of a backbone network than classical models, allowing for backbone network optimisation operations and management at near real-time. This methodology was applied to the backbone infrastructure of a major UK internet service provider. Doing so increased accuracy and computational efficiency for detecting where and when anomalies and pattern irregularities occur in the network signal.

ACS Style

Manuel Herrera; Yaniv Proselkov; Marco Perez-Hernandez; Ajith Kumar Parlikad. Mining Graph-Fourier Transform Time Series for Anomaly Detection of Internet Traffic at Core and Metro Networks. IEEE Access 2021, 9, 8997 -9011.

AMA Style

Manuel Herrera, Yaniv Proselkov, Marco Perez-Hernandez, Ajith Kumar Parlikad. Mining Graph-Fourier Transform Time Series for Anomaly Detection of Internet Traffic at Core and Metro Networks. IEEE Access. 2021; 9 ():8997-9011.

Chicago/Turabian Style

Manuel Herrera; Yaniv Proselkov; Marco Perez-Hernandez; Ajith Kumar Parlikad. 2021. "Mining Graph-Fourier Transform Time Series for Anomaly Detection of Internet Traffic at Core and Metro Networks." IEEE Access 9, no. : 8997-9011.

Journal article
Published: 18 December 2020 in IFAC-PapersOnLine
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Long-haul backbone communication networks provide internet services across a region or a country. The access to internet at smaller areas and the functioning of other critical infrastructures rely on the long-haul backbone high speed services and resilience. Hence, such networks are key for the decision-making of internet service managers and providers, as well as for the management and control of other critical infrastructures. This paper proposes a critical link analysis of the physical infrastructure of the UK internet backbone network from a dynamic, complex network approach. To this end, perturbation network analyses provide a natural framework to measure the network tolerance facing structural or topological modifcations. Furthermore, there have been taken into account variations on data-traffic for the internet backbone that usually happen in a typical day. The novelty of the proposal is, then, twofold: proposing a weighted (traffic informed) Laplacian matrix to compute a perturbation centrality measure, and enhancing it by a time-dependent perturbation analysis to detect changes in link criticality within the network, coming from data traffic variation in a day. The results show which are the most critical links at every time of the day, being of main importance for protection, maintenance and mitigation plans for the UK internet backbone.

ACS Style

Manuel Herrera; Marco Pérez-Hernández; Amit Kumar Jain; Ajith Kumar Parlikad. Critical link analysis of a national internet backbone via dynamic perturbation. IFAC-PapersOnLine 2020, 53, 155 -160.

AMA Style

Manuel Herrera, Marco Pérez-Hernández, Amit Kumar Jain, Ajith Kumar Parlikad. Critical link analysis of a national internet backbone via dynamic perturbation. IFAC-PapersOnLine. 2020; 53 (3):155-160.

Chicago/Turabian Style

Manuel Herrera; Marco Pérez-Hernández; Amit Kumar Jain; Ajith Kumar Parlikad. 2020. "Critical link analysis of a national internet backbone via dynamic perturbation." IFAC-PapersOnLine 53, no. 3: 155-160.

Review
Published: 24 October 2020 in Modelling
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Current and future smart cities are moving towards the zero-net energy use concept. To this end, the built environment should also be designed for efficient energy use and play a significant role in the production of such energy. At present, this is achieved by focusing on energy demand in buildings and to the renewable trade-off related to smart power grids. However, urban water distribution systems constantly carry an excess of hydraulic energy that can potentially be recovered to produce electricity. This paper presents a comprehensive review of current strategies for energy production by reviewing the state-of-the-art of smart water systems. New technologies (such as cyber-physical systems, digital twins, blockchain) and new methodologies (network dynamics, geometric deep learning) associated with digital water are also discussed. The paper then focuses on modelling the installation of both micro-turbines and pumps as turbines, instead of/together with pressure reduction valves, to further demonstrate the energy-recovery methods which will enable water network partitioning into district metered areas. The associated benefits on leakage control, as a source of energy, and for contributing to overall network resilience are also highlighted. The paper concludes by presenting future research directions. Notably, digital water is proposed as the main research and operational direction for current and future Water Distribution Systems (WDS) and as a holistic, data-centred framework for the operation and management of water networks.

ACS Style

Carlo Giudicianni; Manuel Herrera; Armando Di Nardo; Kemi Adeyeye; Helena M. Ramos. Overview of Energy Management and Leakage Control Systems for Smart Water Grids and Digital Water. Modelling 2020, 1, 134 -155.

AMA Style

Carlo Giudicianni, Manuel Herrera, Armando Di Nardo, Kemi Adeyeye, Helena M. Ramos. Overview of Energy Management and Leakage Control Systems for Smart Water Grids and Digital Water. Modelling. 2020; 1 (2):134-155.

Chicago/Turabian Style

Carlo Giudicianni; Manuel Herrera; Armando Di Nardo; Kemi Adeyeye; Helena M. Ramos. 2020. "Overview of Energy Management and Leakage Control Systems for Smart Water Grids and Digital Water." Modelling 1, no. 2: 134-155.

Research article
Published: 30 September 2020 in IET Collaborative Intelligent Manufacturing
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Collaborative prognosis is a technique that is used to enable assets to improve their ability to predict failures by learning from the failures of similar other assets. This is typically made possible by enabling the assets to communicate with each other. The key enabler of current collaborative prognosis techniques is that they require assets to share their sensor data and failure information between each other, which might be a major constraint due to commercial sensitivities, especially when the assets belong to different companies. This study uses federated learning to address this issue and examines whether this technique will enable collaborative prognosis while ensuring sensitive operational data is not shared between organisational boundaries. An example implementation is demonstrated for the prognosis of a simulated turbofan fleet, where federated averaging algorithm is used as an alternative for the data exchange step. Its performance is compared with a conventional collaborative prognosis that involves failure data exchange. The results confirm that federated averaging retains the performance of conventional collaborative prognosis while eliminating the exchange of failure data within assets. This removes a critical hindrance in industrial adoption of collaborative prognosis, thus enhancing the potential of predictive maintenance.

ACS Style

Maharshi Dhada; Amit Kumar Jain; Manuel Herrera; Marco Perez Hernandez; Ajith Kumar Parlikad. Secure and communications‐efficient collaborative prognosis. IET Collaborative Intelligent Manufacturing 2020, 2, 164 -173.

AMA Style

Maharshi Dhada, Amit Kumar Jain, Manuel Herrera, Marco Perez Hernandez, Ajith Kumar Parlikad. Secure and communications‐efficient collaborative prognosis. IET Collaborative Intelligent Manufacturing. 2020; 2 (4):164-173.

Chicago/Turabian Style

Maharshi Dhada; Amit Kumar Jain; Manuel Herrera; Marco Perez Hernandez; Ajith Kumar Parlikad. 2020. "Secure and communications‐efficient collaborative prognosis." IET Collaborative Intelligent Manufacturing 2, no. 4: 164-173.

Journal article
Published: 23 June 2020
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Collaborative prognosis is a technique that is used to enable assets to improve their ability to predict failures by learning from the failures of similar other assets. This is typically made possible by enabling the assets to communicate with each other. The key enabler of current collaborative prognosis techniques is that they require assets to share their sensor data and failure information between each other, which might be a major constraint due to commercial sensitivities, especially when the assets belong to different companies. This paper uses Federated Learning to address this issue, and examines whether this technique will enable collaborative prognosis while ensuring sensitive operational data is not shared between organisational boundaries. An example implementation is demonstrated for prognosis of a simulated turbofan fleet, where Federated Averaging algorithm is used as an alternative for the data exchange step. Its performance is compared with conventional collaborative prognosis that involves failure data exchange. The results confirm that Federated Averaging retains the performance of conventional collaborative prognosis, while eliminating the exchange of failure data within assets. This removes a critical hinderance in industrial adoption of collaborative prognosis, thus enhancing the potential of predictive maintenance.

ACS Style

Maharshi Dhada; Amit Jain; Manuel Herrera Herrera Fernandez; Marco Eric Perez Hernandez; Ajith Parlikad. Secure and communications-efficient collaborative prognosis. 2020, 1 .

AMA Style

Maharshi Dhada, Amit Jain, Manuel Herrera Herrera Fernandez, Marco Eric Perez Hernandez, Ajith Parlikad. Secure and communications-efficient collaborative prognosis. . 2020; ():1.

Chicago/Turabian Style

Maharshi Dhada; Amit Jain; Manuel Herrera Herrera Fernandez; Marco Eric Perez Hernandez; Ajith Parlikad. 2020. "Secure and communications-efficient collaborative prognosis." , no. : 1.

Journal article
Published: 01 June 2020 in Journal of Water Resources Planning and Management
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The detection of contaminant intrusion into a water-distribution network (WDN) is a difficult issue due to uncertainty related to the type of injected contaminant, source location, and intrusion time. The placement of water quality sensors has received increasing interest in the last years, and it still represents an open problem and a great challenge for researchers and utilities. Efficient numerical techniques are needed to support any contamination warning system (CWS) design. These require a well-calibrated hydraulic model of the WDN and a great deal of information, both of which are often unavailable to water utilities. In addition, as the size of the WDN increases, the choice of effective sensor placement becomes a computationally intractable problem. This paper introduces a methodology to support water utilities in the design of an effective CWS without any use of hydraulic information, but just exploiting the knowledge of the topology of the WDN. To ensure a complete coverage of the network, the method relies on a priori clustering of the WDN and on the installation of quality sensors at the most central nodes of each cluster, selected according to different topological centrality metrics. The procedure is tested on a benchmark network and on a real WDN serving a town close to Naples, Italy. The solutions obtained with topological criteria are effective in terms of detection time, detection likelihood, redundancy, and population exposed through ingestion.

ACS Style

Carlo Giudicianni; M. Herrera; A. Di Nardo; R. Greco; E. Creaco; A. Scala. Topological Placement of Quality Sensors in Water-Distribution Networks without the Recourse to Hydraulic Modeling. Journal of Water Resources Planning and Management 2020, 146, 04020030 .

AMA Style

Carlo Giudicianni, M. Herrera, A. Di Nardo, R. Greco, E. Creaco, A. Scala. Topological Placement of Quality Sensors in Water-Distribution Networks without the Recourse to Hydraulic Modeling. Journal of Water Resources Planning and Management. 2020; 146 (6):04020030.

Chicago/Turabian Style

Carlo Giudicianni; M. Herrera; A. Di Nardo; R. Greco; E. Creaco; A. Scala. 2020. "Topological Placement of Quality Sensors in Water-Distribution Networks without the Recourse to Hydraulic Modeling." Journal of Water Resources Planning and Management 146, no. 6: 04020030.

Journal article
Published: 20 May 2020 in Buildings and Cities
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ACS Style

Anna Parkin; Manuel Herrera; David A. Coley. Net-zero buildings: when carbon and energy metrics diverge. Buildings and Cities 2020, 1, 86 -99.

AMA Style

Anna Parkin, Manuel Herrera, David A. Coley. Net-zero buildings: when carbon and energy metrics diverge. Buildings and Cities. 2020; 1 (1):86-99.

Chicago/Turabian Style

Anna Parkin; Manuel Herrera; David A. Coley. 2020. "Net-zero buildings: when carbon and energy metrics diverge." Buildings and Cities 1, no. 1: 86-99.

Review
Published: 08 March 2020 in Processes
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Systems engineering is an ubiquitous discipline of Engineering overlapping industrial, chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It provides tools for dealing with the complexity and dynamics related to the optimisation of physical, natural, and virtual systems management. This paper presents a review of how multi-agent systems and complex networks theory are brought together to address systems engineering and management problems. The review also encompasses current and future research directions both for theoretical fundamentals and applications in the industry. This is made by considering trends such as mesoscale, multiscale, and multilayer networks along with the state-of-art analysis on network dynamics and intelligent networks. Critical and smart infrastructure, manufacturing processes, and supply chain networks are instances of research topics for which this literature review is highly relevant.

ACS Style

Manuel Herrera; Marco Pérez-Hernández; Ajith Kumar Parlikad; Joaquín Izquierdo. Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering. Processes 2020, 8, 312 .

AMA Style

Manuel Herrera, Marco Pérez-Hernández, Ajith Kumar Parlikad, Joaquín Izquierdo. Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering. Processes. 2020; 8 (3):312.

Chicago/Turabian Style

Manuel Herrera; Marco Pérez-Hernández; Ajith Kumar Parlikad; Joaquín Izquierdo. 2020. "Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering." Processes 8, no. 3: 312.

Review
Published: 24 January 2020
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Systems Engineering is an ubiquitous discipline of Engineering overlapping industrial, chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It provides tools for dealing with the complexity and dynamics related to the optimisation of physical, natural, and virtual systems management. This paper presents a review of how multi-agent systems and complex networks theory are brought together to address Systems Engineering and management problems. The review also encompasses current and future research directions both for theoretical fundamentals and applications in Industry. This is made by considering trends such as mesoscale, multiscale, and multilayer networks; along with the state-of-art analysis on network dynamics and intelligent networks. Critical and smart infrastructure, manufacturing processes, and supply chain networks are instances of research topics for which this literature review is highly relevant.

ACS Style

Manuel Herrera; Marco Pérez-Hernández; Ajith Kumar Parlikad; Joaquín Izquierdo. A Review on Control and Optimisation of Multi-Agent Systems and Complex Networks for Systems Engineering. 2020, 1 .

AMA Style

Manuel Herrera, Marco Pérez-Hernández, Ajith Kumar Parlikad, Joaquín Izquierdo. A Review on Control and Optimisation of Multi-Agent Systems and Complex Networks for Systems Engineering. . 2020; ():1.

Chicago/Turabian Style

Manuel Herrera; Marco Pérez-Hernández; Ajith Kumar Parlikad; Joaquín Izquierdo. 2020. "A Review on Control and Optimisation of Multi-Agent Systems and Complex Networks for Systems Engineering." , no. : 1.

Article
Published: 07 January 2020 in Water Resources Management
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Water distribution systems (WDSs) today are expected to continuously provide clean water while meeting users demand, and pressure requirements. To accomplish these targets is not an easy task due to extreme weather events, operative accidents and intentional attacks; as well as the progressive deterioration of the WDS assets. Therefore, water utilities should be ready to deal with a range of disruption scenarios such as abrupt variations on the water demand e.g. caused by pipe bursts or topological changes in the water network. This paper presents a novel methodology to automatically split a WDS into self-adapting district metered areas (DMAs) of different size in response to such scenarios. Complex Networks Theory is proposed for creating novel multiscale network layouts for a WDS. This makes it possible to automatically define the dynamic partitioning of WDSs to support further DMA aggregation / disaggregation operations. A real, already partitioned, water utility network shows the usefulness of an adaptive partitioning when the network is affected by an abnormal increase of the peak demand of up to 15%. The dynamic DMA reuses the assets of the static partitioning and, in this case, up to the 82% of resilience is restored using 94% of the assets already installed. The results also show that the overall computational and economic management costs are reduced compared to the static DMA partition while the hydraulic performance of the WDS is simultaneously preserved.

ACS Style

Carlo Giudicianni; Manuel Herrera; Armando Di Nardo; Kemi Adeyeye. Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas. Water Resources Management 2020, 34, 835 -848.

AMA Style

Carlo Giudicianni, Manuel Herrera, Armando Di Nardo, Kemi Adeyeye. Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas. Water Resources Management. 2020; 34 (2):835-848.

Chicago/Turabian Style

Carlo Giudicianni; Manuel Herrera; Armando Di Nardo; Kemi Adeyeye. 2020. "Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas." Water Resources Management 34, no. 2: 835-848.

Journal article
Published: 01 January 2020 in IFAC-PapersOnLine
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Multi-agent systems have been an effective choice for designing control systems that are flexible and agile. However, few attention has been given to the evaluation of the architectures of such systems. This becomes critical with the emerging requirements in complex domains such as digital network infrastructures. In this paper, we propose an approach for the evaluation of agent-based control architectures and introduce three multi-agent based architectures for the supervisory control of network service operations of the next generation of digital infrastructures. With the proposed approach, we evaluated the architectures and the implemented control systems prototypes under a realistic network infrastructure environment. Our approach has been effective to evaluate the candidate architectures. The results of communication overhead and reaction time, have shown that agent-based hierarchical and heterarchical-ring architectures have outperformed the heterarchical-complete network architecture.

ACS Style

Marco Pérez Hernández; Duncan McFarlane; Manuel Herrera; Amit Kumar Jain; Ajith Kumar Parlikad. Comparing Agent-based Control Architectures For Next Generation Telecommunication Network Infrastructures. IFAC-PapersOnLine 2020, 53, 11062 -11067.

AMA Style

Marco Pérez Hernández, Duncan McFarlane, Manuel Herrera, Amit Kumar Jain, Ajith Kumar Parlikad. Comparing Agent-based Control Architectures For Next Generation Telecommunication Network Infrastructures. IFAC-PapersOnLine. 2020; 53 (2):11062-11067.

Chicago/Turabian Style

Marco Pérez Hernández; Duncan McFarlane; Manuel Herrera; Amit Kumar Jain; Ajith Kumar Parlikad. 2020. "Comparing Agent-based Control Architectures For Next Generation Telecommunication Network Infrastructures." IFAC-PapersOnLine 53, no. 2: 11062-11067.

Journal article
Published: 18 December 2019 in Journal of Cleaner Production
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The optimal and sustainable management of water distribution systems still represent an arduous task. In many instances, especially in aging water net-works, pressure management is imperative for reducing breakages and leakages. Therefore, optimal District Metered Areas represent an effective solution to decreasing the overall energy input without performance compromise. Within this context, this paper proposes a novel adaptive management framework for water distribution systems by reconfiguring the original network layout into (dynamic) district metered areas. It utilises a multiscale clustering algorithm to schedule district aggregation/desegregation, whilst delivering energy and supply management goals. The resulting framework was tested in a water utility network for the simultaneously production of energy during the day (by means of the installation of micro-hydropower systems) and for the reduction of water leakage during the night. From computational viewpoint, this was found to significantly reduce the time and complexity during the clustering and the dividing phase. In addition, in this case, a recovered energy potential of 19 MWh per year and leakage reduction of up to 16% was found. The addition of pump-as-turbines was also found to reduce investment and maintenance costs, giving improved reliability to the monitoring stations. The financial analyses to define the optimal period in which to invest also showed the economic feasibility of the proposed solution, which assures, in the analysed case study, a positive annual net income in just five years. This study demonstrates that the combined optimisation, energy recovery and creation of optimized multiple-task district stations lead to an efficient, resilient, sustainable, and low-cost management strategy for water distribution networks.

ACS Style

Carlo Giudicianni; Manuel Herrera; Armando di Nardo; Armando Carravetta; Helena M. Ramos; Kemi Adeyeye. Zero-net energy management for the monitoring and control of dynamically-partitioned smart water systems. Journal of Cleaner Production 2019, 252, 119745 .

AMA Style

Carlo Giudicianni, Manuel Herrera, Armando di Nardo, Armando Carravetta, Helena M. Ramos, Kemi Adeyeye. Zero-net energy management for the monitoring and control of dynamically-partitioned smart water systems. Journal of Cleaner Production. 2019; 252 ():119745.

Chicago/Turabian Style

Carlo Giudicianni; Manuel Herrera; Armando di Nardo; Armando Carravetta; Helena M. Ramos; Kemi Adeyeye. 2019. "Zero-net energy management for the monitoring and control of dynamically-partitioned smart water systems." Journal of Cleaner Production 252, no. : 119745.

Journal article
Published: 01 September 2019 in Journal of Water Resources Planning and Management
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Water distributions networks (WDNs) are exposed to multiple hazards, leading the network to operate under a range of critical conditions. This paper explored the relationship between the impact of anomalous events (AEs) of WDNs and the consequent palliative actions (PAs) to be implemented in the network to minimize such impact. Both AEs and PAs were assessed through a network resilience criticality index adapted to WDNs. The results were compared with those obtained from normal operating conditions with respect to the satisfaction rate of nodal demands. The proposal was evaluated by two case studies. The first corresponded to a small synthetic network and the second to a medium-size utility network. After a pipe burst event analysis, two different isolation actions were scrutinized in each of the two WDNs. The results quantify system resilience and support water utility managers in further decision-making processes. This is done through critical resilience indicators that provide information and support for better crisis preparedness (planning) and management (mitigation).

ACS Style

David Ayala-Cabrera; Olivier Piller; Manuel Herrera; Denis Gilbert; Jochen Deuerlein. Absorptive Resilience Phase Assessment Based on Criticality Performance Indicators for Water Distribution Networks. Journal of Water Resources Planning and Management 2019, 145, 04019037 .

AMA Style

David Ayala-Cabrera, Olivier Piller, Manuel Herrera, Denis Gilbert, Jochen Deuerlein. Absorptive Resilience Phase Assessment Based on Criticality Performance Indicators for Water Distribution Networks. Journal of Water Resources Planning and Management. 2019; 145 (9):04019037.

Chicago/Turabian Style

David Ayala-Cabrera; Olivier Piller; Manuel Herrera; Denis Gilbert; Jochen Deuerlein. 2019. "Absorptive Resilience Phase Assessment Based on Criticality Performance Indicators for Water Distribution Networks." Journal of Water Resources Planning and Management 145, no. 9: 04019037.

Journal article
Published: 19 May 2019 in Energies
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Currently, one of the biggest concerns of human beings is greenhouse gas emissions, especially carbon dioxide emissions in developed and under-developed countries. In this study, connectionist models including LSSVM (Least Square Support Vector Machine) and evolutionary methods are employed for predicting the amount of CO 2 emission in six Latin American countries, i.e., Brazil, Mexico, Argentina, Peru, Chile, Venezuela and Uruguay. The studied region is modelled based on the available input data in terms of million tons including oil (million tons), gas (million tons oil equivalent), coal (million tons oil equivalent), R e w (million tons oil equivalent) and Gross Domestic Product (GDP) in terms of billion U.S. dollars. Moreover, the available patents in the field of climate change mitigation in six Latin American countries, namely Brazil, Mexico, Argentina, Peru, Chile, Venezuela and Uruguay, have been reviewed and analysed. The results show that except Venezuela, all other mentioned countries have invested in renewable energy R&D activities. Brazil and Argentina have the highest share of renewable energies, which account for 60% and 72%, respectively.

ACS Style

Mohammad Hossein Ahmadi; Mohammad Dehghanimadvar; Milad Sadeghzadeh; Mohammad Hossein Rezaei; Manuel Herrera; Shahaboddin Shamshirband. Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models. Energies 2019, 12, 1916 .

AMA Style

Mohammad Hossein Ahmadi, Mohammad Dehghanimadvar, Milad Sadeghzadeh, Mohammad Hossein Rezaei, Manuel Herrera, Shahaboddin Shamshirband. Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models. Energies. 2019; 12 (10):1916.

Chicago/Turabian Style

Mohammad Hossein Ahmadi; Mohammad Dehghanimadvar; Milad Sadeghzadeh; Mohammad Hossein Rezaei; Manuel Herrera; Shahaboddin Shamshirband. 2019. "Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models." Energies 12, no. 10: 1916.