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Lastprognostisering×Effektflödesanalys×
ÄmnesområdeElektroteknikElektroteknik
FamiljProcess / pipelineProcess / pipeline
Ursprungsår1960s1956
UpphovspersonElectrical utilitiesWard and Hale
TypComputational pipelineComputational pipeline
UrsprungskällaHippert, H. S., Pedreira, C. E., & Souza, R. C. (2001). Neural networks for short-term load forecasting: A review and evaluation. IEEE Transactions on Power Systems, 16(1), 44-55. DOI ↗Saadat, H. (2010). Power System Analysis (3rd ed.). PSA Publishing. link ↗
Aliasdemand forecasting, electricity consumption prediction, load demand estimationload flow analysis, power flow study
Närliggande45
SammanfattningLoad forecasting predicts future electrical demand on power systems across various time horizons: minutes to hours (short-term), days to weeks (medium-term), and months to years (long-term). Accurate forecasting is essential for economic dispatch, unit commitment, and system reliability. Methods range from classical statistical regression to modern machine learning approaches.Power flow analysis, also called load flow study, is a computational method that determines the steady-state voltage, current, and power distribution across all buses in an electrical power system. Developed by Ward and Hale in 1956, it is fundamental to power system planning, operation, and optimization.
ScholarGateDatamängd
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  1. v1
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  3. PUBLISHED

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ScholarGateJämför metoder: Load Forecasting · Power Flow Analysis. Hämtad 2026-06-17 från https://scholargate.app/sv/compare