1 code implementation • 2 Oct 2023 • Emil Helgren, Jalal Kazempour, Lesia Mitridati
This paper develops a feature-driven model for hybrid power plants, enabling them to exploit available contextual information such as historical forecasts of wind power, and make optimal wind power and hydrogen trading decisions in the day-ahead stage.
no code implementations • 30 Sep 2023 • Matthias Franke, Ognjen Stanojev, Lesia Mitridati, Gabriela Hug
Amidst the worldwide efforts to decarbonize power networks, Local Electricity Markets (LEMs) in distribution networks are gaining importance due to the increased adoption of renewable energy sources and prosumers.
no code implementations • 11 Jul 2023 • Ognjen Stanojev, Lesia Mitridati, Riccardo de Nardis di Prata, Gabriela Hug
This paper presents a novel safe reinforcement learning algorithm for strategic bidding of Virtual Power Plants (VPPs) in day-ahead electricity markets.
no code implementations • 14 Mar 2023 • Eleni Stai, Lesia Mitridati, Ioannis Stavrakakis, Evangelia Kokolaki, Petros Tatoulis, Gabriela Hug
In the peak hours, a proportional allocation (PA) policy is used to allocate the limited RESs among the competitors.
no code implementations • 25 Jan 2022 • Lesia Mitridati, Emma Romei, Gabriela Hug, Ferdinando Fioretto
Sector coordination between heat and electricity systems has been identified has an energy-efficient and cost-effective way to transition towards a more sustainable energy system.
no code implementations • 25 Jan 2022 • Eleni Stai, Evangelia Kokolaki, Lesia Mitridati, Petros Tatoulis, Ioannis Stavrakakis, Gabriela Hug
This work studies the decentralized and uncoordinated energy source selection problem for smart-grid consumers with heterogeneous energy profiles and risk attitudes: they compete for a limited amount of renewable energy in their local community, at the risk of paying a higher cost if that energy is not enough to supply all such demand.
no code implementations • 6 May 2020 • Lesia Mitridati, Pascal Van Hentenryck, Jalal Kazempour
Coordination between heat and electricity markets is essential to achieve a cost-effective and efficient operation of the overall energy system.