Design of a Short-Term Load Intelligent Forecasting System for Regional Power Grid Based on Accurate Weather Data

doi:10.11930/j.issn.1004-9649.202108026

Abstract

Abstract: Based on the time-zoned refined meteorological data, the regional power grid short-term load intelligent prediction system is developed to realize the accurate forecast of the power curve. The features of this system are to decompose the grid supply load into the superposition of various power components, and to provide a variety of feature selection modes, prediction methods and historical reference dates according to the characteristics and influencing factors of each power component, which improves the accuracy, automation and work efficiency of short-term load forecasting.

Key words: load forecasting, weather data, renewable energy generation power forecasting, forecasting system

LI Dan, ZHANG Yuanhang, LI Huangqiang, TONG Huamin, WANG Lingyun. Design of a Short-Term Load Intelligent Forecasting System for Regional Power Grid Based on Accurate Weather Data[J]. Electric Power, 2022, 55(7): 128-133.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202108026

https://www.electricpower.com.cn/EN/Y2022/V55/I7/128

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