智能电力负荷预测与反窃电策略分析
Analysis of Intelligent Power Load Forecasting and Anti-theft Strategies
宫艺栩1
作者信息
- 1. 青岛市光明电力服务有限责任公司即墨分公司,山东 266200
- 折叠
摘要
阐述人工智能在电力负荷预测中的运用,以及采用机器学习算法和数据预处理技术的能力.探讨反窃电策略,通过先进的计量基础设施和智能电网,实现实时监控和远程控制.
Abstract
This paper expounds the application of artificial intelligence in power load forecasting,as well as its ability to use machine learning algorithms and data preprocessing techniques.It explores anti electricity theft strategies,advanced metering infrastructure and smart grid,real-time monitoring and remote control system design.
关键词
智能技术/计算机工程/电力负荷预测Key words
intelligent technology/computer engineering/power load forecasting引用本文复制引用
出版年
2024
NETL
NSTL
万方数据