Neural-network-based water inflow forecasting

Control Engineering Practice

Volumn 6, Issue 5, 1998, Pages 593-600

  Golob, R ^a   Stokelj T ^b   Grgic D ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b So ke Elektrarne (SENG)   (Slovenia)

Author keywords

efficiency enhancement; forecasts; hydroelectric systems; neural networks; power system control

Indexed keywords

NEURAL NETWORK-BASED WATER INFLOW FORECASTING;

ENERGY EFFICIENCY; FLOW OF WATER; HYDROELECTRIC POWER PLANTS; INTELLIGENT CONTROL; NEURAL NETWORKS; POWER CONTROL; RIVERS;

FLOW CONTROL;

EID: 0032075955     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(98)00037-9     Document Type: Article

References (5)

1. Demuth, H. Beale, M., 1993. Neural Network Toolbox MathWorks, Natick, Mass., U.S.A.
2. Dobnikar, A., 1990. Neural networks. Didakta, Radovljica, Slovenia.
3. Haykin, S., 1994. Neural Networks. Macmillan College Publishing Company, New York, U.S.A.
4. Nguyen, D., Windrow, B., 1990. Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights. International Joint Conference of Neural Networks, Vol. 3, July 1990, pp. 21-26.
5. SENG, 1996. SENG operators guidelines in case of heavy precipitation. Technical Report, SENG, N. Gorica, Slovenia.