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M. F. Sulaima

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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
Review Open access Aug 2026

AI-based multimodal fusion of geophysical and geochemical data for subsurface characterization

Artificial intelligence (AI) increasingly supports subsurface characterization by integrating heterogeneous geophysical, geochemical, and spatial data. However, existing studies remain fragmented across disciplines and often leave unresolved questions about cross-modal physical coupling, fusion design, uncertainty prop...

H. Namazi, M. F. Sulaima, Ondrej Krejcar et al. · 0 citations

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