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Author

H. Mokhlis

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Review Open access Sep 2026

Advancing Long‐Term Energy Demand Forecasting: A PRISMA‐Guided Systematic Review of AI and Econometric Models

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. · 0 citations
Open access Jul 2026

Economic Emission Dispatch Employing a Novel Improved Multi-Objective Artificial Lemming Algorithm

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. · 0 citations

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