Salīdzināt metodes

	Slodzes prognozēšana	Jaudas plūsmas analīze
Nozare	Elektrotehnika	Elektrotehnika
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1960s	1956
Autors	Electrical utilities	Ward and Hale
Tips	Computational pipeline	Computational pipeline
Pirmavots	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.
Citi nosaukumi	demand forecasting, electricity consumption prediction, load demand estimation	load flow analysis, power flow study
Saistītās	4	5
Kopsavilkums	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.