Reinforcement learning involves determining how agents should perform actions in an environment to maximize cumulative rewards, and Q-learning is commonly used at the Home Energy Management System (HEMS) level to optimize appliance scheduling using cost and user comfort as reward functions (O’Neill et al. 2010; Wen et al. 2015).

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• Person: Not available Organization: Springer
  A comprehensive overview on demand side energy management ...

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• A comprehensive overview on demand side energy management ... link.springer.com Springer via serper

Referenced by nodes (2)

• Home Energy Management System concept
• reinforcement learning concept