Long‐term energy demand forecasts are used by governments, utilities, and planners when deciding future grid capacity, investment needs, and decarbonisation pathways. This review examines recent studies that used artificial intelligence, machine learning, hybrid, and statistical/econometric approaches for long‐term...
Nor Azila Mohd Noor, M. F. Sulaima, M. Rahmat et al.· Applied Research· 0 citations
Results demonstrate that the IMOALA achieves superior convergence precision and solution diversity in numerical tests, offering a highly effective optimization tool for complex, multi-objective power system dispatch and broader engineering challenges.
Hong-Bin Wang, N. Mansor, H. Mokhlis et al.· Processes· 0 citations
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