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Ioannis Boukas
Ioannis Boukas
University of Liège
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Año
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
I Boukas, D Ernst, T Théate, A Bolland, A Huynen, M Buchwald, ...
Machine Learning, 2021 110, 2335–2387, 2021
552021
Lifelong control of off-grid microgrid with model-based reinforcement learning
S Totaro, I Boukas, A Jonsson, B Cornélusse
Energy 232, 121035, 2021
302021
Probabilistic forecasting of imbalance prices in the Belgian context
J Dumas, I Boukas, MM de Villena, S Mathieu, B Cornélusse
2019 16th International Conference on the European Energy Market (EEM), 1-7, 2019
222019
Analyzing trade in continuous intra-day electricity market: An agent-based modeling approach
P Shinde, I Boukas, D Radu, M Manuel de Villena, M Amelin
Energies 14 (13), 3860, 2021
162021
Sizing and operation of an isolated microgrid with building thermal dynamics and cold storage
S Dakir, I Boukas, V Lemort, B Cornélusse
IEEE Transactions on Industry Applications 56 (5), 5375-5384, 2020
162020
Financial optimization of renewable energy communities through optimal allocation of locally generated electricity
MM De Villena, S Aittahar, S Mathieu, I Boukas, E Vermeulen, D Ernst
IEEE access 10, 77571-77586, 2022
152022
Intra-day bidding strategies for storage devices using deep reinforcement learning
I Boukas, D Ernst, A Papavasiliou, B Cornélusse
15th international conference on the European energy market, 2018
152018
A framework to integrate flexibility bids into energy communities to improve self-consumption
MM De Villena, I Boukas, S Mathieu, E Vermeulen, D Ernst
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
142020
Real-Time Bidding Strategies from Micro-Grids Using Reinforcement Learning
I Boukas, D Ernst, B Cornélusse
Proceedings of CIRED Workshop 2018, 2018
122018
Allocation of locally generated electricity in renewable energy communities
MM De Villena, S Aittahar, S Mathieu, I Boukas, E Vermeulen, D Ernst
arXiv preprint arXiv:2009.05411, 2020
102020
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent
A Bolland, I Boukas, M Berger, D Ernst
Journal of Artificial Intelligence Research 73, 117-171, 2022
9*2022
Optimal control of renewable energy communities with controllable assets
S Aittahar, MM de Villena, G Derval, M Castronovo, I Boukas, Q Gemine, ...
Frontiers in Energy Research 11, 879041, 2023
72023
Sizing and operation of an isolated microgrid with cold storage
S Dakir, I Boukas, V Lemort, B Cornélusse
2019 IEEE Milan PowerTech, 1-6, 2019
32019
Data-driven Parameterized Policies for Microgrid Control
I Boukas, S El Mekki, B Cornélusse
22019
Analyzing trade in continuous intra-day electricity market: An agent-based modeling approach. Energies 2021, 14, 3860
P Shinde, I Boukas, D Radu, MM de Villena, M Amelin
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021
12021
Exploiting the flexibility potential of water distribution networks: A pilot project in Belgium
I Boukas, E Burtin, A Sutera, Q Gemine, B Pevee, D Ernst
IEEE Transactions on Smart Grid, 2023
2023
Deep Reinforcement Learning for the Control of Energy Storage in Grid-Scale and Microgrid Applications
I Boukas
ULiège-Université de Liège, Liège, Belgium, 2021
2021
Sizing and operation of an isolated microgrid with building thermal dynamics and cold storage
S Dakir, I Boukas, V Lemort, B Cornélusse
IEEE Transactions on Industry Applications 56 (5), 5375-5384, 2020
2020
A Framework to Integrate Flexibility Bids into Energy Communities to Improve Self-Consumption
M Manuel de Villena Millan, I Boukas, S Mathieu, D Ernst, E Vermeulen
General Meeting 2020 Montreal, 2020
2020
Energy Trading Strategies For Storage Devices Using Approximate Dynamic Programming
I Boukas, D Ernst, B Cornelusse
Local Energy, Global Markets, 42nd IAEE International Conference, May 29 …, 2019
2019
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Artículos 1–20