Multi-Source Data Fusion-Based Grid-Level Load Forecasting

Multi-Source Data Fusion-Based Grid-Level Load Forecasting

This paper introduces a novel weighted fusion methodology for grid-level short-term load forecasting that addresses the critical limitations of direct aggregation methods currently used by regional dispatch centers. Traditional approaches accumulate provincial forecasts without considering regional...

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Bibliographic Details
Main Authors: Hai Ye, Xiaobi Teng, Bingbing Song, Kaiming Zou, Moyan Zhu, Guangyu He
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
short-term load forecasting
data fusion
principal component analysis
weighted aggregation
multi-regional integration
Online Access:https://www.mdpi.com/2076-3417/15/9/4820
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