메뉴 건너뛰기




Volumn 99, Issue 6, 2007, Pages

Energy management strategies use short-term water consumption forecasting to minimize cost of pumping operations

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CLIMATE CHANGE; COST ACCOUNTING; ELECTRIC UTILITIES; ENERGY MANAGEMENT; PUMPING PLANTS;

EID: 34547253978     PISSN: 0003150X     EISSN: None     Source Type: Journal    
DOI: 10.1002/j.1551-8833.2007.tb07957.x     Document Type: Article
Times cited : (30)

References (9)
  • 3
    • 0036640826 scopus 로고    scopus 로고
    • Short-term Water Demand Forecast Modeling Techniques
    • Jain, A. & Ormsbee, L., 2002. Short-term Water Demand Forecast Modeling Techniques. Jour. AWWA, 94:7:64.
    • (2002) Jour. AWWA , vol.94 , Issue.7 , pp. 64
    • Jain, A.1    Ormsbee, L.2
  • 8
    • 0028548319 scopus 로고
    • An Implementation of a Neural Network Based Load Forecasting Model for the EMS
    • Papalexopoulos, A.D.; Hao, S.; & Peng, T., 1994. An Implementation of a Neural Network Based Load Forecasting Model for the EMS. IEEE Transactions on Power Systems, 9:4.1956.
    • (1956) IEEE Transactions on Power Systems , vol.9 , pp. 4
    • Papalexopoulos, A.D.1    Hao, S.2    Peng, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.