1 citations · 1 across the 3 of their papers we have counts for
3 papers
End-to-End Learning with Multiple Modalities for System-Optimised Renewables Nowcasting
Rushil Vohra, Ali Rajaei, Jochen L. Cremer
With the increasing penetration of renewable power sources such as wind and solar, accurate short-term, nowcasting renewable power prediction is becoming increasingly important. Th…
MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response
Jasper van Tilburg, Luciano C. Siebert, Jochen L. Cremer
This paper presents a decentralized Multi-Agent Reinforcement Learning (MARL) approach to an incentive-based Demand Response (DR) program, which aims to maintain the capacity limit…
Regularised Learning with Selected Physics for Power System Dynamics
Haiwei Xie, Federica Bellizio, Jochen L. Cremer +1
Due to the increasing system stability issues caused by the technological revolutions of power system equipment, the assessment of the dynamic security of the systems for changing…