A hybrid short-term load forecasting with a new input selection framework

Energy

Volumn 81, Issue , 2015, Pages 777-786

  Ghofrani, M ^a   Ghayekhloo, M ^b   Arabali, A ^c   Ghayekhloo, A ^d  

^a UNIVERSITY OF WASHINGTON BOTHELL   (United States)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c Reno   (United States)

^d ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Bayesian neural network; Correlation analysis; Input selection; Short term load forecasting; Wavelet decomposition

Indexed keywords

CORRELATION METHODS; FORECASTING; NEURAL NETWORKS; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

BAYESIAN NEURAL NETWORKS; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; FORECASTING TECHNIQUES; INPUT SELECTION; INPUT SELECTION METHOD; LOAD CHARACTERISTICS; SHORT TERM LOAD FORECASTING;

ELECTRIC LOAD FORECASTING;

ACCURACY ASSESSMENT; BAYESIAN ANALYSIS; CORRELATION; WAVELET ANALYSIS;

EID: 84924909991     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2015.01.028     Document Type: Article

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