axel-fehr / minimizing-electricity-cost-with-model-based-deep-RLLinks
This project is about exploring the use of model-based reinforcement learning with Bayesian neural networks to minimize the electricity cost for electricity consumers who have their own photovoltaic system and a battery. The method used here is designed for environments with dynamic electricity prices.
☆17Updated last year
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