A SOM clustering pattern sequence-based next symbol prediction method for day-ahead direct electricity load and price forecasting

Energy Conversion and Management

Volumn 90, Issue , 2015, Pages 84-92

  Jin, Cheng Hao ^a   Pok, Gouchol ^b,e   Lee, Yongmi ^a   Park, Hyun Woo ^a   Kim, Kwang Deuk ^c   Yun, Unil ^d   Ryu, Keun Ho ^a  

^a Chungbuk National University   (South Korea)

^b YANBIAN UNIVERSITY   (China)

^c Korea Institute of Energy Research (KIER)   (South Korea)

^d Sejong University   (South Korea)

^e Baekseok University   (South Korea)

Author keywords

Artificial neural network; Clustering; Pattern sequence; Self organizing feature map; Time series forecasting; Topology relations

Indexed keywords

COMMERCE; CONFORMAL MAPPING; FORECASTING; NEURAL NETWORKS; SELF ORGANIZING MAPS; TIME SERIES; TOPOLOGY;

CLUSTERING; COMPETITIVE ELECTRICITY MARKETS; FORECASTING METHODS; PATTERN SEQUENCES; PREDICTION METHODS; SELF-ORGANIZING FEATURE MAP; TIME SERIES CLUSTERING; TIME SERIES FORECASTING;

ELECTRIC LOAD FORECASTING;

EID: 84911932519     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2014.11.010     Document Type: Article

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