309 citations · 515 across the 4 of their papers we have counts for
4 papers
Data-Driven Key Performance Indicators and Datasets for Building Energy Flexibility: A Review and Perspectives
H. Li, H. Johra, F. de Andrade Pereira +15
Energy flexibility, through short-term demand-side management (DSM) and energy storage technologies, is now seen as a major key to balancing the fluctuating supply in different ene…
Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building
Anjukan Kathirgamanathan, Eleni Mangina, Donal P. Finn
This research is concerned with the novel application and investigation of `Soft Actor Critic' (SAC) based Deep Reinforcement Learning (DRL) to control the cooling setpoint (and he…
A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn
Anjukan Kathirgamanathan, Kacper Twardowski, Eleni Mangina +1
Reinforcement learning is a promising model-free and adaptive controller for demand side management, as part of the future smart grid, at the district level. This paper presents th…
Data-driven Predictive Control for Unlocking Building Energy Flexibility: A Review
Anjukan Kathirgamanathan, Mattia De Rosa, Eleni Mangina +1
Managing supply and demand in the electricity grid is becoming more challenging due to the increasing penetration of variable renewable energy sources. As significant end-use consu…