电子技术2024,Vol.53Issue(6) :320-321.

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 Technology and Machine Learning

时超群 孟涵昭
电子技术2024,Vol.53Issue(6) :320-321.

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 Technology and Machine Learning

时超群 1孟涵昭2
扫码查看

作者信息

  • 1. 山东电协电力咨询有限公司,山东 272600
  • 2. 山东省电力行业协会,山东 250098
  • 折叠

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.

Abstract

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.

关键词

人工智能/机器学习/储能系统/容量优化/管理策略

Key words

artificial intelligence/machine learning/energy storage systems/capacity optimization/management strategies

引用本文复制引用

出版年

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
段落导航相关论文