Comparer des méthodes

	Prévision de la demande	Analyse de flux de puissance
Domaine	Génie électrique	Génie électrique
Famille	Process / pipeline	Process / pipeline
Année d'origine	1960s	1956
Auteur d'origine	Electrical utilities	Ward and Hale
Type	Computational pipeline	Computational pipeline
Source fondatrice	Hippert, 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.	Saadat, H. (2010). Power System Analysis (3rd ed.). PSA Publishing.
Alias	demand forecasting, electricity consumption prediction, load demand estimation	load flow analysis, power flow study
Apparentées	4	5
Résumé	Load 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.