CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities

arXiv:2405.03848v1 Announce Type: new
Abstract: As more distributed energy resources become part of the demand-side infrastructure, it is important to quantify the energy flexibility they provide on a community scale, particularly to understand the impact of geographic, climatic, and occupant behavioral differences on their effectiveness, as well as identify the best control strategies to accelerate their real-world adoption. CityLearn provides an environment for benchmarking simple and advanced distributed energy resource control algorithms including rule-based, model-predictive, and reinforcement learning control. CityLearn …

abstract arxiv become carbon communities community cs.lg cs.sy demand differences distributed eess.sy energy flexibility grid identify impact infrastructure interactive management part resilient resources scale type