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Volumn , Issue , 2005, Pages 200-203

24-hour electrical load predictions by the complementary use of PLS and neural network

Author keywords

Artificial neural network; Load forecasting; Modeling; Partial least squares; Power system; Simulation

Indexed keywords

COMPUTER SIMULATION; ECONOMICS; FORECASTING; LEARNING SYSTEMS; NEURAL NETWORKS;

EID: 33244490989     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (7)
  • 5
    • 0034862223 scopus 로고    scopus 로고
    • A hybrid model of partial least squares and artificial neural network for analyzing process monitoring data
    • Washington, DC
    • Y.S. Kim, B.J. Yum, & M. Kim, A hybrid model of partial least squares and artificial neural network for analyzing process monitoring data, Proceedings of 2001International Joint Conference on Neural Networks, Washington, DC., 3, 2001, 2292-2297.
    • (2001) Proceedings of 2001International Joint Conference on Neural Networks , vol.3 , pp. 2292-2297
    • Kim, Y.S.1    Yum, B.J.2    Kim, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.