Energy management of buildings with energy storage and solar photovoltaic: A diversity in experience approach for deep reinforcement learning agents
2.2. Clustering of daily energy demand profiles The daily energy demand profiles of the building are first divided into different groups to train the DRL agent. K-means clustering is the most widely used technique for unsupervised clustering. In K-means clustering, an n-dimensional data set is divided into K clusters with the objective of …