An Efficient Approach to Short-Term Load Forecasting at the Distribution Level

IEEE Transactions on Power Systems

Volumn 31, Issue 4, 2016, Pages 2526-2537

  Sun, Xiaorong ^a   Luh, Peter B ^a   Cheung, Kwok W ^b   Guan, Wei ^b   Michel, Laurent D ^c   Venkata, S S ^b   Miller, Melanie T ^d  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b ALSTOM   (France)

^c University of Connecticut   (United States)

^d DUKE ENERGY   (United States)

Author keywords

Distribution system; neural network; pattern similarity; short term load forecasting; switching operation

Indexed keywords

ELECTRIC POWER PLANT LOADS; IMAGE CODING;

DISTRIBUTION SYSTEMS; FORECASTING ACCURACY; HIERARCHICAL STRUCTURES; LOAD CHARACTERISTICS; NEURAL NETWORK MODEL; SHORT TERM LOAD FORECASTING; SWITCHING OPERATIONS; WAVELET NEURAL NETWORKS;

FORECASTING;

EID: 84945968600     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2015.2489679     Document Type: Article

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