1 citations · 1 across the 3 of their papers we have counts for
4 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…
Exploring Operational Flexibility of Active Distribution Networks with Low Observability
Demetris Chrysostomou, Jose Luis Rueda Torres, Jochen Lorenz Cremer
Power electronic interfaced devices progressively enable the increasing provision of flexible operational actions in distribution networks. The feasible flexibility these devices c…
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…