Data Flow Forecasting for Smart Grid Based on Multi-Verse Expansion Evolution Physical–Social Fusion Network

Data Flow Forecasting for Smart Grid Based on Multi-Verse Expansion Evolution Physical–Social Fusion Network

The accurate forecasting of financial flow data in power-grid operations is critical for improving operational efficiency. To tackle the challenges of low forecasting accuracy and high error rates caused by the long sequences, nonlinearity, and multi-scale and non-stationary characteristics of finan...

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Bibliographic Details
Main Authors: Kun Wang, Bentao Hu, Jiahao Zhang, Ruqi Zhang, Hongshuo Zhang, Sunxuan Zhang, Xiaomei Chen
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Energies
Subjects:
power grid financial flow
data forecasting
multi-verse expansion evolution
deep learning
spatial–temporal fusion network
Online Access:https://www.mdpi.com/1996-1073/18/12/3093
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