E
Emanuele Crisostomi
Researcher at University of Pisa
Publications - 143
Citations - 1874
Emanuele Crisostomi is an academic researcher from University of Pisa. The author has contributed to research in topics: Smart grid & Renewable energy. The author has an hindex of 23, co-authored 135 publications receiving 1480 citations. Previous affiliations of Emanuele Crisostomi include Imperial College London.
Papers
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Journal ArticleDOI
Day-Ahead Hourly Forecasting of Power Generation From Photovoltaic Plants
Lorenzo Gigoni,Alessandro Betti,Emanuele Crisostomi,Alessandro Franco,Mauro Tucci,Fabrizio Bizzarri,Debora Mucci +6 more
TL;DR: This paper extensively compare simple forecasting methodologies with more sophisticated ones over 32 photovoltaic plants of different sizes and technology over a whole year, and tries to evaluate the impact of weather conditions and weather forecasts on the prediction of PV power generation.
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A flexible distributed framework for realising electric and plug-in hybrid vehicle charging policies
TL;DR: A number of distributed algorithms for achieving relative average fairness whilst maximising utilisation are described, borrowing from communication networks and distributed convex optimisation.
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Plug-and-Play Distributed Algorithms for Optimized Power Generation in a Microgrid
TL;DR: This paper introduces distributed algorithms that share the power generation task in an optimized fashion among the several Distributed Energy Resources within a microgrid using Additive-Increase-Multiplicative-Decrease (AIMD) algorithms.
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A Google-like model of road network dynamics and its application to regulation and control
TL;DR: Markov chain theory and spectral analysis of the transition matrix are shown to reveal non-evident properties of the underlying road network and to correctly predict consequences of road network modifications.
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Stochastic Park-and-Charge Balancing for Fully Electric and Plug-in Hybrid Vehicles
TL;DR: A stochastic balancing algorithm is presented to reduce the potential for excessively long queues to build up at some charging stations, although other charging stations are underutilized, and is fully decentralized and facilitates a plug-and-play type of behavior.