Dynamics analysis of a novel hybrid deep clustering for unsupervised learning by reinforcement of multi-agent to energy saving in intelligent buildings
The heating, ventilating and air conditioning (HVAC) systems energy demand can be reduced by manipulating indoor conditions within the comfort range, which relates to control performance and, simultaneously, achieves peak load shifting toward off-peak hours. Reinforcement learning (RL) is considered...
| 出版年: | Applied Energy |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier Ltd
2022
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125936829&doi=10.1016%2fj.apenergy.2022.118863&partnerID=40&md5=224d60d3d7914b26536b08f630586059 |