Open Access
E3S Web Conf.
Volume 346, 2022
Article Number 03027
Number of page(s) 11
Section Thème 3. Solutions innovantes dans l'usage des réservoirs / Theme 3. Innovative Solutions in Reservoir Uses
Published online 23 May 2022
  1. G. Loganathan, D. Bhattacharya, Goal programming techniques for optimal reservoir operations, Journal of Water Resources Planning and Management, ASCE, Vol. 116: No. 6, pp. 820–838 (1990) [CrossRef] [Google Scholar]
  2. S.O. Russell, P.F. Campbell, Reservoir operating rules with fuzzy programming, Journal of Water Resources Planning and Management, ASCE, Vol. 122: No. 3, pp. 165–170 (1996) [CrossRef] [Google Scholar]
  3. E. Eschenbach, T. Magee, E. Zagona, M. Goronflo, R. Shane, Goal programming decision support system for multi objective operation of reservoir system, Journal of Water Resources Planning and Management, ASCE, Vol. 127: No. 2, pp. 108–120 (2001) [CrossRef] [Google Scholar]
  4. J.W. Labadie, Optimal operation of multireservoir system: State-of-the-art review, Journal of Water Resources Planning and Management, ASCE, Vol. 130: No. 2, pp. 93–111 (2004) [CrossRef] [Google Scholar]
  5. B. Abdelaziz Foued, M. Sameh, Application of goal programming in a multiobjective reservoir operation model in Tunisia, European Journal of Operational Research, Vol. 133: pp. 352–361 (2001) [CrossRef] [Google Scholar]
  6. O. Kisi, Suspended sediment estimation using neuro-fuzzy and neural network approache, Journal of Hydrological Sciences, Vol. 50: No. 4, pp. 683–69 (2005) [Google Scholar]
  7. T. Rajaee, S.A. Mirbagheri, M. Kermani, V. Nourani, Daily suspended sediment concentration simulation using ANN and Neuro-Fuzzy models, Science of the Total Environment, Vol. 407: pp. 4916–4927 (2009) [CrossRef] [Google Scholar]
  8. B. Dixon, Applicability of neuro-fuzzy techniques in predicting ground-water vulnerability: A GIS-based sensitivity analysis, Journal of Hydrology, Vol. 309: pp. 17–38 (2005) [CrossRef] [Google Scholar]
  9. S.J. Mousavi, K. Ponnambalam, F. Karray, Inferring operating rules for reservoir operations using fuzzy regression and ANFIS, Fuzzy Sets and Systems, Vol. 158: pp. 1064–1082 (2007) [CrossRef] [Google Scholar]
  10. J.S.R. Jang, ANFIS: Adaptive-network-based fuzzy inference systems, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23: No. (3), pp. 665–685 (1993) [CrossRef] [Google Scholar]
  11. D.P. Loucks, E. Van Beek, Water resources systems planning and management: An introduction to methods, models and applications, studies and reports in hydrology, UNESCO Publishing, Paris, France (2005) [Google Scholar]
  12. D.P. Loucks, Quantifying trends in system sustainability, Journal of Hydrological Sciences, Vol. 42: No. 4, pp. 513–530 (1997) [CrossRef] [Google Scholar]

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