fig6

An integrated energy system scheduling method considering year-round load variations based on deep reinforcement learning

Figure 6. Clustering results of load types including electricity and cooling load scenario (A), electricity and heating load scenario (B), and lower levels of mixed cooling, heating, and power scenario (C).