Fusion of neural computing and PLS techniques for load estimation

Proceedings of the IASTED International Conference on Energy and Power Systems

Volumn , Issue , 2007, Pages 257-261

  Lu, Ming ^a   Xue, Huifeng ^a   Cheng, Xiaohang ^a   Zhang, Wenyu ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b XI AN UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Computational intelligence; Neural computing; Partial least squares; Short term load forecasting

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SYSTEMS; CONVERGENCE OF NUMERICAL METHODS; CURVE FITTING; ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEMS; FORECASTING; HYBRID SENSORS; INTELLIGENT CONTROL; POTENTIAL ENERGY; POTENTIAL ENERGY SURFACES; REAL TIME SYSTEMS; STATISTICAL METHODS; TOPOLOGY;

ABDUCTIVE NETWORKS; COMPUTATIONAL INTELLIGENCE; COMPUTATIONAL INTELLIGENCES; CONVENTIONAL TECHNIQUES; CONVERSION METHODS; DATA SETS; FORECAST ERRORS; HISTORICAL INFORMATIONS; HYBRID MODELS; LATENT STRUCTURES; LOAD ESTIMATIONS; MODELING METHODS; NEURAL COMPUTATIONS; NEURAL COMPUTING; OPTIMAL TOPOLOGIES; PARTIAL LEAST SQUARES; POWER SYSTEMS; PUGET SOUNDS; SHORT TERM LOAD FORECASTING;

ELECTRIC LOAD FORECASTING;

EID: 56349090940     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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