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Updated: Jan 10, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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智能家居中的自适应能源管理通过模糊强化学习和元启发式优化算法来最大限度地降低成本

Mohammad Mahdi Kordian Hamedani1, Alireza Jahangiri2, Reza Mehri1

  • 1Department of electrical engineering, Ha.C., Islamic Azad University, Hamedan, Iran.

Scientific reports
|November 26, 2025
PubMed
概括

本研究介绍了一种智能家居能源管理模型,该模型优化了太阳能电池板,电动汽车和储能系统的能源使用. 由人工智能驱动的方法可显著降低电力成本,高达53%.

关键词:
有条件的风险价值 (CVaR)需求响应策略 需求响应策略有V2G/G2V的电动汽车.超听觉优化 (HHO 和 WHO)智能家居能源管理 智能家居能源管理太阳能光伏和储能是太阳能光伏和储能.使用模糊强化学习的不确定性建模.

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