Bandingkan kaedah

	Ramalan Beban	Analisis Aliran Kuasa
Bidang	Kejuruteraan Elektrik	Kejuruteraan Elektrik
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1960s	1956
Pengasas	Electrical utilities	Ward and Hale
Jenis	Computational pipeline	Computational pipeline
Sumber perintis	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
Berkaitan	4	5
Ringkasan	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.