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Dr. Gabriella Ferruzzi
Federico II University, Naples, Italy

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Research article
Published: 15 December 2020 in Applied Energy
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Transportation electrification is a valid option for supporting decarbonization efforts but, at the same time, the growing number of electric vehicles will produce new and unpredictable load conditions for the electrical networks. Accurate electric vehicle load forecasting becomes essential to reduce adverse effects of electric vehicle integration into the grid. In this paper, a methodology dedicated to probabilistic electric vehicle load forecasting for different geographic regions is presented. The hierarchical approach is applied to decompose the problem into sub-problems at low-level regions, which are resolved through standard probabilistic models such as gradient boosted regression trees, quantile regression forests and quantile regression neural networks, coupled with principal component analysis to reduce the dimensionality of the sub-problems. The hierarchical perspective is then finalized to forecast the aggregate load at a high-level geographic region through an ensemble methodology based on a penalized linear quantile regression model. This paper brings, as relevant contributions, the development of hierarchical probabilistic forecasting framework, its comparison with non-hierarchical frameworks, and the assessment of the role of data dimensionality refduction. Extensive experimental results based on actual electric vehicle load data are presented which confirm that the hierarchical approaches increase the skill of probabilistic forecasts up to 9.5% compared with non-hierarchical approaches.

ACS Style

Luboš Buzna; Pasquale De Falco; Gabriella Ferruzzi; Shahab Khormali; Daniela Proto; Nazir Refa; Milan Straka; Gijs van der Poel. An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations. Applied Energy 2020, 283, 116337 .

AMA Style

Luboš Buzna, Pasquale De Falco, Gabriella Ferruzzi, Shahab Khormali, Daniela Proto, Nazir Refa, Milan Straka, Gijs van der Poel. An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations. Applied Energy. 2020; 283 ():116337.

Chicago/Turabian Style

Luboš Buzna; Pasquale De Falco; Gabriella Ferruzzi; Shahab Khormali; Daniela Proto; Nazir Refa; Milan Straka; Gijs van der Poel. 2020. "An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations." Applied Energy 283, no. : 116337.

Journal article
Published: 15 April 2020 in Symmetry
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As the evacuation problem has attracted and continues to attract a series of researchers due to its high importance both for saving human lives and for reducing the material losses in such situations, the present paper analyses whether the evacuation doors configuration in the case of classrooms and lecture halls matters in reducing the evacuation time. For this aim, eighteen possible doors configurations have been considered along with five possible placements of desks and chairs. The doors configurations have been divided into symmetrical and asymmetrical clusters based on the two doors positions within the room. An agent-based model has been created in NetLogo which allows a fast configuration of the classrooms and lecture halls in terms of size, number of desks and chairs, desks and chair configuration, exits’ size, the presence of fallen objects, type of evacuees and their speed. The model has been used for performing and analyzing various scenarios. Based on these results, it has been observed that, in most cases, the symmetrical doors configurations provide good/optimal results, while only some of the asymmetrical doors configurations provide comparable/better results. The model is configurable and can be used in various scenarios.

ACS Style

Camelia Delcea; Liviu-Adrian Cotfas; Ioana-Alexandra Bradea; Marcel-Ioan Boloș; Gabriella Ferruzzi. Investigating the Exits’ Symmetry Impact on the Evacuation Process of Classrooms and Lecture Halls: An Agent-Based Modeling Approach. Symmetry 2020, 12, 627 .

AMA Style

Camelia Delcea, Liviu-Adrian Cotfas, Ioana-Alexandra Bradea, Marcel-Ioan Boloș, Gabriella Ferruzzi. Investigating the Exits’ Symmetry Impact on the Evacuation Process of Classrooms and Lecture Halls: An Agent-Based Modeling Approach. Symmetry. 2020; 12 (4):627.

Chicago/Turabian Style

Camelia Delcea; Liviu-Adrian Cotfas; Ioana-Alexandra Bradea; Marcel-Ioan Boloș; Gabriella Ferruzzi. 2020. "Investigating the Exits’ Symmetry Impact on the Evacuation Process of Classrooms and Lecture Halls: An Agent-Based Modeling Approach." Symmetry 12, no. 4: 627.

Journal article
Published: 01 April 2020 in Sustainability
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Due to the increase of the amount of electrical and electronical equipment waste (e-waste), the understanding of individual consumers’ main decision triggers represents a key point in increasing the quantity of recycled e-waste. A series of studies from the literature have shown a positive relationship between the consumers’ attitude, awareness, self-efficacy, social norms, and their e-waste recycling intention, as well as the positive influence between the intention and the manifested behavior. Additional to these determinants, in the present study, the influence of social media was analyzed along with the actions taken by the government and nongovernmental organizations, with the purpose to include and to capture, as much as possible, a high amount of determinants in the e-waste recycling process. Nevertheless, the demographic or socio-economic variables, such as age, gender, income, education, number of family members, etc., have shown over time to have a contribution to predicting the consumers’ pro-recycling behavior. As on one side, in the research literature, the opinions related to which of the demographic or socio-economic factors can have an impact on the recycling behavior have been divided and, on another side, a series of researchers believe that the discrepancies in the findings of different studies can be due to culture in various countries, in this paper we conducted such an analysis with reference to the Romania’s case. The results have shown that the demographic variables, such as age and gender, can have a contribution to predicting residents’ pro-e-waste recycling behavior. Based on these findings, the policymakers can gain a better understanding of the e-waste recycling phenomenon and on its main triggers, with results in creating better policies for sustaining a proper e-waste managing system.

ACS Style

Camelia Delcea; Liliana Crăciun; Corina Ioanăș; Gabriella Ferruzzi; Liviu-Adrian Cotfas. Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania. Sustainability 2020, 12, 2753 .

AMA Style

Camelia Delcea, Liliana Crăciun, Corina Ioanăș, Gabriella Ferruzzi, Liviu-Adrian Cotfas. Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania. Sustainability. 2020; 12 (7):2753.

Chicago/Turabian Style

Camelia Delcea; Liliana Crăciun; Corina Ioanăș; Gabriella Ferruzzi; Liviu-Adrian Cotfas. 2020. "Determinants of Individuals’ E-Waste Recycling Decision: A Case Study from Romania." Sustainability 12, no. 7: 2753.

Research article
Published: 23 May 2018 in Energy & Environment
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In the electricity market, short-term operation is organized in day-ahead and real-time stages. The two stages that are performed in different time intervals have reciprocal effects on each other. The paper shows the strategy of a microgrid that participates to both day-ahead energy and spinning reserve market. It is supposed that microgrid is managed by a prosumer, a decision maker who manages distributed energy sources, storage units, Information and Communication Technologies (ICT) elements, and loads involved in the grid. The strategy is formulated considering that all decisions about the amount of power to sell in both markets and the price links to the offer, must be taken contextually and at the same time, that is through a joint approach. In order to develop an optimal bidding strategy for energy markets, prosumer implements a nonlinear mixed integer optimization model: in this way, by aggregating and coordinating various distributed energy sources, including renewable energy sources, micro-turbines–electricity power plants, combined heat and power plants, heat production plants (boilers), and energy storage systems, prosumer is able to optimally allocate the capacities for energy and spinning reserve market and maximize its revenues from different markets. Moreover, it is considered that both generators and loads can take part in the reserve market. The demand participation happens through both shiftable and curtailable loads. Case studies based on microgrid with various distributed energy sources demonstrate the market behavior of the prosumer using the proposed bidding model.

ACS Style

Gabriella Ferruzzi; Giorgio Graditi; Federico Rossi. A joint approach for strategic bidding of a microgrid in energy and spinning reserve markets. Energy & Environment 2018, 31, 88 -115.

AMA Style

Gabriella Ferruzzi, Giorgio Graditi, Federico Rossi. A joint approach for strategic bidding of a microgrid in energy and spinning reserve markets. Energy & Environment. 2018; 31 (1):88-115.

Chicago/Turabian Style

Gabriella Ferruzzi; Giorgio Graditi; Federico Rossi. 2018. "A joint approach for strategic bidding of a microgrid in energy and spinning reserve markets." Energy & Environment 31, no. 1: 88-115.

Dataset
Published: 01 March 2018 in ENERGYO
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In recent years, modern distribution networks have rapidly evolved toward complex systems due to the increasing level of penetration of distributed generation units, storage systems, and information and communication technologies. In this framework, power quality disturbances such as waveform distortions should be minimized to guarantee optimal system behavior. This article formulates the planning problem of passive filtering systems in a multi-convertor electrical distribution system as a probabilistic multi-objective optimization problem whose input random variables are characterized with probability density functions. A heuristic simplified approach including trade-off analysis issues is applied to solve the planning problem with the aim of optimizing several objectives and meeting proper probabilistic equality and inequality constraints. The approach is able to quickly find solutions on the Pareto frontier that can help the decision-maker to select the final planning alternative for practical operation. The proposed approach is applied to a 17-busbar distribution test system to evidence its effectiveness.

ACS Style

Guido Carpinelli; Gabriella Ferruzzi; Angela Russo. Trade-Off Analysis to Solve a Probabilistic Multi-Objective Problem for Passive Filtering System Planning. ENERGYO 2018, 1 .

AMA Style

Guido Carpinelli, Gabriella Ferruzzi, Angela Russo. Trade-Off Analysis to Solve a Probabilistic Multi-Objective Problem for Passive Filtering System Planning. ENERGYO. 2018; ():1.

Chicago/Turabian Style

Guido Carpinelli; Gabriella Ferruzzi; Angela Russo. 2018. "Trade-Off Analysis to Solve a Probabilistic Multi-Objective Problem for Passive Filtering System Planning." ENERGYO , no. : 1.

Dataset
Published: 01 March 2018 in ENERGYO
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This paper considers a microgrid connected with a medium-voltage (MV) distribution network. It is assumed that the microgrid, which is managed by a prosumer, operates in a competitive environment and participates in the day-ahead market. Then, as the first step of the short-term management problem, the prosumer must determine the bids to be submitted to the market. The offer strategy is based on the application of an optimization model, which is solved for different hourly price profiles of energy exchanged with the main grid. The proposed procedure is applied to a microgrid and four different its configurations were analyzed. The configurations consider the presence of thermoelectric units that only produce electricity, a boiler or/and cogeneration power plants for the thermal loads, and an electric storage system. The numerical results confirmed the numerous theoretical considerations that have been made.

ACS Style

Gabriella Ferruzzi; Federico Rossi; Angela Russo. Determination of the Prosumer’s Optimal Bids. ENERGYO 2018, 1 .

AMA Style

Gabriella Ferruzzi, Federico Rossi, Angela Russo. Determination of the Prosumer’s Optimal Bids. ENERGYO. 2018; ():1.

Chicago/Turabian Style

Gabriella Ferruzzi; Federico Rossi; Angela Russo. 2018. "Determination of the Prosumer’s Optimal Bids." ENERGYO , no. : 1.

Journal article
Published: 20 September 2017 in International Journal of Heat and Technology
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ACS Style

Gabriella Ferruzzi; Federico Rossi; Antonio Bracale. Bidding strategy of a micro grid for the day-ahead energy and spinning reserve markets: the problem formulation. International Journal of Heat and Technology 2017, 35, 1 .

AMA Style

Gabriella Ferruzzi, Federico Rossi, Antonio Bracale. Bidding strategy of a micro grid for the day-ahead energy and spinning reserve markets: the problem formulation. International Journal of Heat and Technology. 2017; 35 (Special 1):1.

Chicago/Turabian Style

Gabriella Ferruzzi; Federico Rossi; Antonio Bracale. 2017. "Bidding strategy of a micro grid for the day-ahead energy and spinning reserve markets: the problem formulation." International Journal of Heat and Technology 35, no. Special 1: 1.

Book chapter
Published: 12 May 2017 in Analysis of Energy Systems
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ACS Style

Gabriella Ferruzzi; Giorgio Graditi. Optimal Scheduling of a Microgrid under Uncertainty Condition. Analysis of Energy Systems 2017, 171 -196.

AMA Style

Gabriella Ferruzzi, Giorgio Graditi. Optimal Scheduling of a Microgrid under Uncertainty Condition. Analysis of Energy Systems. 2017; ():171-196.

Chicago/Turabian Style

Gabriella Ferruzzi; Giorgio Graditi. 2017. "Optimal Scheduling of a Microgrid under Uncertainty Condition." Analysis of Energy Systems , no. : 171-196.

Book chapter
Published: 28 April 2017 in Analysis of Energy Systems
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ACS Style

Gabriella Ferruzzi; Giorgio Graditi. Optimal Scheduling of a Microgrid under Uncertainty Condition. Analysis of Energy Systems 2017, 171 -196.

AMA Style

Gabriella Ferruzzi, Giorgio Graditi. Optimal Scheduling of a Microgrid under Uncertainty Condition. Analysis of Energy Systems. 2017; ():171-196.

Chicago/Turabian Style

Gabriella Ferruzzi; Giorgio Graditi. 2017. "Optimal Scheduling of a Microgrid under Uncertainty Condition." Analysis of Energy Systems , no. : 171-196.

Journal article
Published: 06 February 2013 in Energies
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A new short-term probabilistic forecasting method is proposed to predict the probability density function of the hourly active power generated by a photovoltaic system. Firstly, the probability density function of the hourly clearness index is forecasted making use of a Bayesian auto regressive time series model; the model takes into account the dependence of the solar radiation on some meteorological variables, such as the cloud cover and humidity. Then, a Monte Carlo simulation procedure is used to evaluate the predictive probability density function of the hourly active power by applying the photovoltaic system model to the random sampling of the clearness index distribution. A numerical application demonstrates the effectiveness and advantages of the proposed forecasting method.

ACS Style

Antonio Bracale; Pierluigi Caramia; Guido Carpinelli; Anna Rita Di Fazio; Gabriella Ferruzzi. A Bayesian Method for Short-Term Probabilistic Forecasting of Photovoltaic Generation in Smart Grid Operation and Control. Energies 2013, 6, 733 -747.

AMA Style

Antonio Bracale, Pierluigi Caramia, Guido Carpinelli, Anna Rita Di Fazio, Gabriella Ferruzzi. A Bayesian Method for Short-Term Probabilistic Forecasting of Photovoltaic Generation in Smart Grid Operation and Control. Energies. 2013; 6 (2):733-747.

Chicago/Turabian Style

Antonio Bracale; Pierluigi Caramia; Guido Carpinelli; Anna Rita Di Fazio; Gabriella Ferruzzi. 2013. "A Bayesian Method for Short-Term Probabilistic Forecasting of Photovoltaic Generation in Smart Grid Operation and Control." Energies 6, no. 2: 733-747.

Pdf document
Published: 30 August 2021
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Il lavoro di tesi ha come scopo la ricerca dei modi e delle forme per gestire in maniera ottimale una microgrid in un contesto di mercato liberalizzato dell’energia. La tesi, suddivisibile in 3 sezioni, è articolata in sei capitoli: i primi tre sono improntati sull’analisi della letteratura; gli altri, invece, sono indirizzati alla individuazione di un modello di gestione ottima della microgrid e all’implementazione di casi studio. Nella prima parte del lavoro, attraverso l’analisi della letteratura esistente, vengono definiti il concetto di microgrid e le problematiche ad essa connessa; vengono, inoltre, individuati i modelli di gestione di rete già presenti. Nella seconda sezione, approfondita nel capitolo quarto, gli studi hanno portato ad individuare come gestione economica ottima della microgrid la gestione di breve termine. In genere, analogamente a quanto accade nella gestione monopolista del sistema di potenza, il problema della gestione di breve termine viene risolto suddividendolo in tre sottoproblemi: la determinazione degli stoccaggi e della potenza scambiata con la rete; l’unit commitment; la ripartizione termoelettrica. Con il primo sottoproblema, si rappresenta la rete elettrica interna con un sistema a sbarra e si determina, ora per ora, l ‘interscambio con la rete di distribuzione, la quantità di energia prelevata/immessa negli stoccaggi e la richiesta dei carichi controllabili. Con il secondo, sempre considerando il sistema sbarra, si procede all’individuazione delle unità da porre in servizio, ora per ora (Unit Commitment). Con il terzo, si effettua, in ciascuna ora, la ripartizione della produzione tra le diverse unità termoelettriche tenendo conto della rete elettrica interna. L’ultima parte del lavoro, sviluppata negli ultimi due capitoli, invece, è stata incentrata sulla formulazione del modello di gestione ottima e sulla sua implementazione, analizzando i diversi scenari possibile e le diverse composizioni tecnologiche della microrete. I risultati hanno permesso di individuare la composizione ottima della microgrid e, di conseguenza, la strategia da perseguire, al fine del raggiungimento dell’ottimo economico.

ACS Style

Gabriella Ferruzzi. La gestione di una microgrid nel mercato liberalizzato dell’energia elettrica. 2021, 1 .

AMA Style

Gabriella Ferruzzi. La gestione di una microgrid nel mercato liberalizzato dell’energia elettrica. . 2021; ():1.

Chicago/Turabian Style

Gabriella Ferruzzi. 2021. "La gestione di una microgrid nel mercato liberalizzato dell’energia elettrica." , no. : 1.