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
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.· Environmental Earth Sciences· 0 citations
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