Fast static available transfer capability determination using radial basis function neural network

Applied Soft Computing Journal

Volumn 11, Issue 2, 2011, Pages 2756-2764

  Jain, T ^a   Singh, S N ^b   Srivastava, S C ^b  

^a MADHAV INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Available transfer capability; Euclidean distance based clustering technique; Radial basis function neural network; Random forest technique

Indexed keywords

AVAILABLE TRANSFER CAPABILITY; CLUSTERING TECHNIQUES; COMPETITIVE ELECTRICITY MARKETS; ELECTRICITY MARKET; EUCLIDEAN DISTANCE; FEATURE SELECTION; MARKET PARTICIPANTS; NEW ENGLAND; POWER SYSTEMS; RADIAL BASIS FUNCTION NEURAL NETWORK; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RANDOM FOREST TECHNIQUE; RANDOM FORESTS; SYSTEM OPERATOR;

ATTITUDE CONTROL; CLUSTER ANALYSIS; COMMERCE; DECISION TREES; ELECTRIC INDUSTRY; FEATURE EXTRACTION; RADIAL BASIS FUNCTION NETWORKS;

NEURAL NETWORKS;

EID: 78751636350     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.11.006     Document Type: Conference Paper

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