Sensitivity analysis of similar days parameters for predicting short-term electricity price

2007 39th North American Power Symposium, NAPS

Volumn , Issue , 2007, Pages 568-574

  Mandal, Paras ^a,b   Senjyu, Tomonobu ^a,c   Yona, Atsushi ^a,c   Park, Jung Wook ^a,b   Srivastava, Anurag K ^a,d  

^a IEEE

^b Yonsei University   (South Korea)

^c UNIVERSITY OF THE RYUKYUS   (Japan)

^d MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Artificial neural network; Electricity price forecasting; Locational marginal prices (LMPs); Power market; Similar days

Indexed keywords

BACKPROPAGATION; CORRELATION METHODS; ERROR ANALYSIS; FORECASTING; NEURAL NETWORKS; SENSITIVITY ANALYSIS;

ANN MODELING; ARTIFICIAL NEURAL NETWORK; CORRELATION CO-EFFICIENT; ELECTRICITY MARKETS; ELECTRICITY PRICE FORECASTING; ELECTRICITY PRICING; EUCLIDEAN NORMS; LOAD FACTORS; LOCATIONAL MARGINAL PRICES (LMPS); MEAN ABSOLUTE PERCENTAGE ERROR; MEAN-SQUARE ERRORS; POWER MARKET; PRICE FACTORS; PRICE FORECASTING; PRICE PREDICTION; SIMILAR DAYS; TIME FACTORS;

ELECTRIC LOAD FORECASTING;

EID: 50249112159     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAPS.2007.4402367     Document Type: Conference Paper

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