Manuel Herrera

Dr. Manuel Herrera

University of Cambridge
orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2010 in Journal of Hydrology
Verified
Journal Article
Closed access
Manuel HerreraManuel Herrera
Manuel Herrera
Luís TorgoLuís Torgo
Luís Torgo
Joaquín IzquierdoJoaquín Izquierdo
Joaquín Izquierdo
RPRafael Pérez-García
Rafael Pérez-García

1 August 2018 in Journal of Water Resources Planning and Management
Verified
Journal Article
Open access
RTRiccardo Taormina
Riccardo Taormina
SGStefano Galelli
Stefano Galelli
NTNils Ole Tippenhauer
Nils Ole Tippenhauer
Elad SalomonsElad Salomons
Elad Salomons
AOAvi Ostfeld
Avi Ostfeld
ZOZiv Ohar
Ziv Ohar
The BATtle of the Attack Detection ALgorithms (BATADAL) is the most recent competition on planning and management of water networks undertaken within the Water Distribution Systems Analysis Symposium. The goal of the battle was to compare the performance of algorithms for the detection of cyber-physical attacks, whose frequency has increased in the last few years along with the adoption of smart water technologies. The design challenge was set for the C-Town network, a real-world, medium-sized water distribution system operated through programmable logic controllers and a supervisory control and data acquisition (SCADA) system. Participants were provided with data sets containing (simulated) SCADA observations, and challenged to design an attack detection algorithm. The effectiveness of all submitted algorithms was evaluated in terms of time-to-detection and classification accuracy. Seven teams participated in the battle and proposed a variety of successful approaches leveraging data analysis, model-based detection mechanisms, and rule checking. Results were presented at the Water Distribution Systems Analysis Symposium (World Environmental and Water Resources Congress) in Sacramento, California on May 21–25, 2017. This paper summarizes the BATADAL problem, proposed algorithms, results, and future research directions.

1 January 2018 in Engineering Applications of Computational Fluid Mechanics
Verified
Journal Article
Open access
FFFarnaz Fotovatikhah
Farnaz Fotovatikhah
Manuel HerreraManuel Herrera
Manuel Herrera
SSShahaboddin Shamshirband
Shahaboddin Shamshirband
KCKwok-Wing Chau
Kwok-Wing Chau
SASina Faizollahzadeh ardabili
Sina Faizollahzadeh ardabili
Md. Jalil PiranMd. Jalil Piran
Md. Jalil Piran
Flooding produces debris and waste including liquids, dead animal bodies and hazardous materials such as hospital waste. Debris causes serious threats to people’s health and can even block the roads used to give emergency aid, worsening the situation. To cope with these issues, flood management systems (FMSs) are adopted for the decision-making process of critical situations. Nowadays, conventional artificial intelligence and computational intelligence (CI) methods are applied to early flood event detection, having a low false alarm rate. City authorities can then provide quick and efficient response in post-disaster scenarios. This paper aims to present a comprehensive survey about the application of CI-based methods in FMSs. CI approaches are categorized as single and hybrid methods. The paper also identifies and introduces the most promising approaches nowadays with respect to the accuracy and error rate for flood debris forecasting and management. Ensemble CI approaches are shown to be highly efficient for flood prediction.

21 April 2017 in Building Services Engineering Research & Technology
Verified
Journal Article
Open access
Manuel HerreraManuel Herrera
Manuel Herrera
SNSukumar Natarajan
Sukumar Natarajan
DCDavid A Coley
David A Coley
TKTristan Kershaw
Tristan Kershaw
ARAlfonso P Ramallo-González
Alfonso P Ramallo-González
MWMichael Wood
Michael Wood
This article provides the first comprehensive assessment of methods for the creation of weather variables for use in building simulation. We undertake a critical analysis of the fundamental issues and limitations of each methodology and discusses new challenges, such as how to deal with uncertainty, the urban heat island, climate change and extreme events. Proposals for the next generation of weather files for building simulation are made based on this analysis. A seven-point list of requirements for weather files is introduced and the state-of-the-art compared to this via a mapping exercise. It is found that there are various issues with all current and suggested approaches, but the two areas most requiring attention are the production of weather files for the urban landscape and files specifically designed to test buildings against the criteria of morbidity, mortality and building services system failure. Practical application: Robust weather files are key to the design of sustainable, healthy and comfortable buildings. This article provides the first comprehensive assessment of their technical requirements to ensure buildings perform well in both current and future climates.

1 January 2017 in Journal of Computational and Applied Mathematics
Verified
Journal Article
Closed access
Bruno BrentanBruno Brentan
Bruno Brentan
EJEdevar Luvizotto Jr.
Edevar Luvizotto Jr.
Manuel HerreraManuel Herrera
Manuel Herrera
Joaquín IzquierdoJoaquín Izquierdo
Joaquín Izquierdo
RPRafael Pérez-García
Rafael Pérez-García

13 February 2016 in Water Resources Management
Verified
Journal Article
Open access
PDF file
Manuel HerreraManuel Herrera
Manuel Herrera
Edo AbrahamEdo Abraham
Edo Abraham
ISIvan Stoianov
Ivan Stoianov
Water utilities face a challenge in maintaining a good quality of service under a wide range of operational management and failure conditions. Tools for assessing the resilience of water distribution networks are therefore essential for both operational and maintenance optimization. In this paper, a novel graph-theoretic approach for the assessment of resilience for large scale water distribution networks is presented. This is of great importance for the management of large scale water distribution systems, most models containing up to hundreds of thousands of pipes and nodes. The proposed framework is mainly based on quantifying the redundancy and capacity of all possible routes from demand nodes to their supply sources. This approach works well with large network sizes since it does not rely on precise hydraulic simulations, which require complex calibration processes and computation, while remaining meaningful from a physical and a topological point of view. The proposal is also tailored for the analysis of sectorised networks through a novel multiscale method for analysing connectivity, which is successfully tested in operational utility network models made of more than 100,000 nodes and 110,000 pipes.