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Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies
A continuous rise in the penetration of renewable energy sources, along with the use of the single imbalance pricing, provides a new opportunity for balance responsible parties to reduce their cost through energy arbitrage in the imbalance settlement mechanism.
HomeLabGym: A real-world testbed for home energy management systems
We present an overview of HomeLabGym, and demonstrate its usefulness to researchers in a comparison between real-world and simulated environments in controlling a residential battery in response to real-time prices.
Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households
Given its substantial contribution of 40\% to global power consumption, the built environment has received increasing attention to serve as a source of flexibility to assist the modern power grid.
