Residential Demand Response Applications Using Batch Reinforcement Learning

no code implementations • 8 Apr 2015 • Frederik Ruelens, Bert Claessens, Stijn Vandael, Bart De Schutter, Robert Babuska, Ronnie Belmans

We propose a model-free Monte-Carlo estimator method that uses a metric to construct artificial trajectories and we illustrate this method by finding the day-ahead schedule of a heat-pump thermostat.

reinforcement-learning Reinforcement Learning (RL)