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Geert Deconinck
Researcher at Katholieke Universiteit Leuven
Publications - 547
Citations - 7986
Geert Deconinck is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Smart grid & Fault tolerance. The author has an hindex of 38, co-authored 530 publications receiving 6814 citations. Previous affiliations of Geert Deconinck include Catholic University of Leuven & The Catholic University of America.
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Journal ArticleDOI
Demand response flexibility and flexibility potential of residential smart appliances: Experiences from large pilot test in Belgium
Reinhilde D'hulst,Wouter Labeeuw,Bart Beusen,Sven Claessens,Geert Deconinck,Koen Vanthournout +5 more
TL;DR: In this paper, the authors present a well-founded quantified estimation of the demand response flexibility of residential smart appliances, or the maximal amount of time a certain increase or decrease of power can be realized within the comfort requirements of the user.
Journal ArticleDOI
A Scalable Three-Step Approach for Demand Side Management of Plug-in Hybrid Vehicles
TL;DR: Results show that the proposed three-step approach is able to charge PHEVs with comparable quality to optimal, centrally computed charging plans, while significantly improving scalability.
Proceedings ArticleDOI
Control of Microgrids
TL;DR: In this article, the authors describe the motivation to develop microgrids, as a particular form of active networks, as an effective solution for the control of grids with high levels of distibuted energy resources.
Journal ArticleDOI
Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market
TL;DR: This paper addresses the problem of defining a day-ahead consumption plan for charging a fleet of electric vehicles (EVs), and following this plan during operation, and shows that the approach is able to find a day's consumption plan with comparable quality to the benchmark solution, without requiring an exact day- Ahead model of each EVs charging flexibility.
Journal ArticleDOI
Matching EV Charging Load With Uncertain Wind: A Simulation-Based Policy Improvement Approach
TL;DR: This paper studies the electric vehicle (EV) charging scheduling problem to match the stochastic wind power, and innovatively incorporates the matching degree between wind power and EV charging load into the objective function.