Residential Electrical Load Forecasting Based on a Real-Time Evidential Time Series Prediction Method

Residential Electrical Load Forecasting Based on a Real-Time Evidential Time Series Prediction Method

Load forecasting is essential for efficient microgrid management, providing key advantages in operational efficiency, cost control, and grid reliability. As microgrids become increasingly critical in the global transition toward decentralized renewable energy systems, accurately predicting load dema...

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Bibliographic Details
Main Authors: M. Mroueh, M. Doumiati, C. Francis, M. Machmoum
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Load forecasting
belief functions theory
machine learning
electrical microgrid
energy management
Online Access:https://ieeexplore.ieee.org/document/10829618/
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