A state-of-the-art comparative review of load forecasting methods: Characteristics, perspectives, and applications

A state-of-the-art comparative review of load forecasting methods: Characteristics, perspectives, and applications

The rapid growth in electricity demand, driven by its expanding applications across diverse sectors, has emphasized the criticality of maintaining a balanced and reliable power supply. Accurate load forecasting has become a cornerstone of modern power system management, enabling the efficient planni...

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Bibliographic Details
Main Authors: Mahmudul Hasan, Zannatul Mifta, Sumaiya Janefar Papiya, Paromita Roy, Pronay Dey, Nafisa Atia Salsabil, Nahid-Ur-Rahman Chowdhury, Omar Farrok
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Energy Conversion and Management: X
Subjects:
Load forecasting
Artificial intelligence in power systems
Renewable energy integration
Smart grid stability
Machine learning for energy demand prediction
Operation and planning
Online Access:http://www.sciencedirect.com/science/article/pii/S2590174525000546
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