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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

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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.
Analysis of Capacity Optimization and Management Strategies for Energy Storage Systems Based on Intelligent Technology and Machine Learning
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.

artificial intelligencemachine learningenergy storage systemscapacity optimizationmanagement strategies

时超群、孟涵昭

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山东电协电力咨询有限公司,山东 272600

山东省电力行业协会,山东 250098

人工智能 机器学习 储能系统 容量优化 管理策略

2024

电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
年,卷(期):2024.53(6)