User Preference-Based Demand Response for Smart Home Energy Management Using Multiobjective Reinforcement Learning
A well-designed demand response (DR) program is essential in smart home to optimize energy usage according to user preferences. In this study, we proposed a multiobjective reinforcement learning (MORL) algorithm to design a DR program. The proposed approach improved conventional algorithms by mitiga...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2021-01-01
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| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/9638574/ |
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