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

Published in:	Energy Conversion and Management: X
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
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