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Volumn 12, Issue 4, 1997, Pages 1689-1694

Implementing a weighted least squares procedure in training a neural network to solve the short-term load forecasting problem

Author keywords

Marginal energy costs; Neural networks; Weighted least squares

Indexed keywords

ELECTRIC LOAD FORECASTING; ELECTRIC LOADS; ELECTRIC UTILITIES; LEARNING SYSTEMS; NEURAL NETWORKS; PROBLEM SOLVING;

EID: 0031275640     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/59.627877     Document Type: Article
Times cited : (26)

References (14)
  • 3
    • 0026818086 scopus 로고    scopus 로고
    • Short Term Load Forecasting Using a Multilayer Neural Network with an Adaptive Learning Algorithm
    • Ho K. L. ei aJ. Short Term Load Forecasting Using a Multilayer Neural Network with an Adaptive Learning Algorithm IEEE Trans. PWRS. Vol. 7 No. 1 Feb. 992. pp. 141-149.
    • IEEE Trans. PWRS. Vol. 7 No. 1 Feb. 992. Pp. 141-149.
    • Ho, K.L.1
  • 7
    • 33747956171 scopus 로고    scopus 로고
    • Proceedings of the Second Joint Forum on Applications of Neural Networks to Power Systems April 19-22 1993 Yokohama Japan.
    • Papalexopoulos A. et al. Short-Term System Load Forecasting Using an Artificial Neural Network Proceedings of the Second Joint Forum on Applications of Neural Networks to Power Systems April 19-22 1993 Yokohama Japan.
    • Short-Term System Load Forecasting Using An Artificial Neural Network
    • Papalexopoulos, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.