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Volumn 2, Issue , 2000, Pages 1107-1112

Short and mid term hydro power plant reservoir inflow forecasting

Author keywords

Artificial Neural Networks; Control of Power Systems; Forecasting; Hydroelectric systems; Inflow; Precipitation

Indexed keywords

DATA ACQUISITION; FORECASTING; HYDROELECTRIC POWER; HYDROELECTRIC POWER PLANTS; NEURAL NETWORKS; PRECIPITATION (CHEMICAL); RESERVOIR MANAGEMENT; RESERVOIRS (WATER); RIVERS; WATER MANAGEMENT; WATER RESOURCES; WEATHER FORECASTING;

EID: 84962229682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPST.2000.897175     Document Type: Conference Paper
Times cited : (8)

References (6)
  • 2
    • 0004078566 scopus 로고
    • Didakta, Radovljica, Slovenia
    • Dobnikar, A. (1990). Neural networks; Didakta, Radovljica, Slovenia.
    • (1990) Neural Networks
    • Dobnikar, A.1
  • 3
    • 0004063090 scopus 로고
    • Macmillan College Publishing Company, New York, U.S.A.
    • Haykin, S. (1994). Neural Networks; Macmillan College Publishing Company, New York, U.S.A..
    • (1994) Neural Networks
    • Haykin, S.1
  • 6
    • 0000665083 scopus 로고
    • Nonparametric estimation of a multivariate probability density
    • Epanechnikov, V. A. (1969). Nonparametric estimation of a multivariate probability density; Theory of Probability and its Applications, 14:153-15.
    • (1969) Theory of Probability and Its Applications , vol.14 , pp. 153-215
    • Epanechnikov, V.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.