Reinforcement learning for occupant-centric operation of residential energy system

Amirreza Heidari, François Maréchal & Dolaana Khovalyg
Occupant behavior is a highly stochastic phenomenon, which is known as a key challenge for the optimal control of residential energy systems. With the increasing share of renewable energy in the building sector, the volatile nature of renewable energy is also another key challenge for optimal control. It is challenging and time-consuming to develop a rule-based or model-based control algorithm that can properly take into account these stochastic parameters and ensure an optimal operation. Rather,...
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