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基于智能技术和机器学习的储能系统容量优化与管理策略分析

Analysis of Capacity Optimization and Management Strategies for Energy Storage Systems Based on Intelligent Technolog and Machine Learning
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摘要 阐述基于人工智能和机器学习的储能系统容量优化与管理策略,分析其在储能系统容量优化与管理中的应用。针对储能系统的特点,构建优化模型,分析管理策略,以提高储能系统的性能和稳定性。 This paper describes the capacity optimization and management strategies of energy storage systems based on artificial intelligence and machine learning.It analyzes its application in energy storage system capacity optimization and management.It constructs optimization models and analyzes management strategies based on the characteristics of energy storage systems to improve their performance and stability.
作者 时超群 孟涵昭 SHI Chaoqun;MENG Hanzhao(Shandong Dianxie Electric Power Consulting Co.,Ltd.,Shandong 272600,China;Shandong Electric Power Industry Association,Shandong 250098,China)
出处 《电子技术(上海)》 2024年第6期320-321,共2页 Electronic Technology
关键词 人工智能 机器学习 储能系统 容量优化 管理策略 artificial intelligence machine learning energy storage systems capacity optimization management strategies
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