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基于智能技术的电力负荷预测与调度方法分析

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阐述基于数据挖掘、机器学习、深度学习的负荷预测方法,以及基于优化算法、智能算法的电力调度方法,探讨其应用与优化方向,以实现更精确、高效的电力负荷预测与调度方法.
Analysis of Power Load Forecasting and Scheduling Methods Based on Intelligent Technology
This paper expounds load forecasting methods based on data mining,machine learning,and deep learning,as well as power dispatch methods based on optimization algorithms and intelligent algorithms.It explores their applications and optimization directions to achieve more accurate and efficient power load forecasting and dispatch methods.

intelligent technologypower load forecastingpower dispatch

宋德琦、关新宇、靳君、贺明强

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国网白银供电公司,甘肃 730900

智能技术 电力负荷预测 电力调度

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(2)
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