Σύγκριση μεθόδων

	Ανάλυση Αρμονικής Παραμόρφωσης	Πρόβλεψη Φορτίου
Πεδίο	Ηλεκτρολογική Μηχανική	Ηλεκτρολογική Μηχανική
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1822	1960s
Δημιουργός	Jean-Baptiste Joseph Fourier	Electrical utilities
Τύπος	Computational pipeline	Computational pipeline
Θεμελιώδης πηγή	IEEE Std 519-1992: IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems.	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.
Εναλλακτικές ονομασίες	harmonic content analysis, THD analysis, Fourier harmonic decomposition	demand forecasting, electricity consumption prediction, load demand estimation
Συναφείς	4	4
Σύνοψη	Harmonic distortion analysis quantifies the deviation of voltage or current waveforms from sinusoidal shape due to nonlinear loads. Using Fourier decomposition, engineers separate the waveform into its fundamental frequency and harmonic components (integer multiples of 50 or 60 Hz). Harmonic analysis is critical for assessing power quality and designing filters in modern power systems with high penetration of nonlinear devices.	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.