Fuzzy logic for reservoir operation with reduced rules

Environmental Progress

Volumn 27, Issue 1, 2008, Pages 98-103

  Sivapragasam, C ^a   Sugendran, P ^b   Marimuthu, M ^b   Seenivasakan, S ^b   Vasudevan, G ^b  

^a KALASALINGAM UNIVERSITY   (India)

^b MEPCO SCHLENK ENGINEERING COLLEGE   (India)

Author keywords

Clustering; Fuzzy logic; Genetic algorithm; Reservoir operation

Indexed keywords

FUZZY INFERENCE; FUZZY SETS; FUZZY SYSTEMS; OPTIMIZATION; RESERVOIRS (WATER);

CASE STUDIES; CLUSTERING; CONVENTIONAL OPTIMIZATION; FUZZY LOGICS; FUZZY-BASED MODELS; GENETIC ALGORITHM; LINGUISTIC INTERPRETATION; NOVEL METHODS; OPERATING RULES; RESERVOIR OPERATION; RESERVOIR OPERATIONS; SIMPLE OPERATION; TAMIL NADU;

FUZZY LOGIC;

EID: 52649154583     PISSN: 02784491     EISSN: 10982280     Source Type: Journal    
DOI: 10.1002/ep.10255     Document Type: Article

References (20)

1. Yeh, W.-W.G. (1985). Reservoir management and operation models. A state-of-the-art review, Water Resources Research, 21, 1797-1818.
2. Wurbs, R.A (1993). Reservoir-system simulation and optimization models, Journal of Water Resources Planning and Management, 119, 455-472.
3. Labadie, J.W. (1997). Reservoir system optimization models, Water Resources Update, 108, 83-115.
4. Russell, S.O., & Campbell, P.F. (1996). Reservoir operating rules with fuzzy programming, Journal of Water Resources Planning and Management, 122, 165-170.
5. Shrestha, B.P., Duckstein, L., & Stakhiv, E. Z. (1996). Fuzzy rule-based modeling of reservoir operation, Journal of Water Resources Planning and Management, 122, 262-268.
6. Panigrahi, D.P., & Mujumdar, P.P. (2000). Reservoir operation modeling with fuzzy logic, Water Resources Management, 14, 89-109.
7. Dubovin, T., Jolma, A., & Turunen, E. (2002). Fuzzy model for real-time reservoir operation, Journal of Water Resources Planning and Management, 128, 66-73.
8. Karabog, D., Bagis, A., & Haktanir, T. (2004) Fuzzy logic based operation of spillway gates of reservoirs during floods, Journal of Hydrologic Engineering, 9, 544-549.
9. Mousavi, S.J., Ponnambalam, K., & Karray, F. (2005). Reservoir operation using a dynamic programming fuzzy rule-based approach, Journal of Water Resources Management, 19, 655-672.
10. Doan, C.D., & Liong, S. Y. (2002). Improving prediction accuracy and interpretability of fuzzy inference system with efficient and effective data set. In Proceedings of the fifth International Conference on Hydroinformatics, Cardiff, UK.
11. Kosko, B. (1992). Neural networks and fuzzy systems, New Jersey, NJ: Prentice Hall.
12. Zadeh, L.A. (1988). Fuzzy logic, IEEE Computer, 21, 83-91
13. Zadeh, L.A. (1965). Fuzzy sets, Information and Control, 8, 338-353.
14. Ross, T.J. (1997). Fuzzy logic with engineering applications, New York: McGraw-Hill.
15. Babuška, R. (1998). Fuzzy modeling for control, Boston: Kluwer Academic.
16. Wardlaw, R., & Sharif, M. (1999). Evaluation of genetic algorithms for optimal reservoir system operation, Journal of Water Resources Planning and Management, 125, 25-33.
17. Song, Y.H., Wan, H.B., & Johns, A.T. (1997). Kohonen neural network based approach to voltage weak buses/areas identification, IEE Proceedings on Generation, Transmission and Distribution, 144, 340-344.
18. Chen, Z., Feng, T.J., & Houkes, Z. (1999). Texture segmentation based on wavelet and Kohonen network for remotely sensed images. In Proceedings of IEEE International Conference on Systems, Man and Cybernatics, Tokyo, Japan.
19. Emamian, V., Kaveh, M., & Tewfik, A.H. (2000). Robust clustering of acoustic emission signals using the Kohonen network. In Proceedings of International conference on Acoustics, Speech and Signal Processing, Istanbul, Turkey.
20. Haykin, S. (1999). Neural networks: A comprehensive foundation, New Jersey, NJ: Prentice Hall.