Σύγκριση μεθόδων

	Πρόβλεψη Φορτίου	Ανάλυση Ροής Ισχύος
Πεδίο	Ηλεκτρολογική Μηχανική	Ηλεκτρολογική Μηχανική
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1960s	1956
Δημιουργός	Electrical utilities	Ward and Hale
Τύπος	Computational pipeline	Computational pipeline
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	demand forecasting, electricity consumption prediction, load demand estimation	load flow analysis, power flow study
Συναφείς	4	5
Σύνοψη	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.