References

Afshar, A. and A. Salehi, 2011. Gated spillways operation rules considering water surface elevation and flood peak: application to Karkheh Dam. World Environ. Water Resour. Congress, 2011: 3007-3015.
CrossRef  |  Direct Link  |  

Afshar, M.H., 2012. Large scale reservoir operation by constrained particle swarm optimization algorithms. J. Hydro Environ. Res., 6: 75-87.
Direct Link  |  

Alemu, E.T., R.N. Palmer, A. Polebitski and B. Meaker, 2010. Decision support system for optimizing reservoir operations using ensemble streamflow predictions. J. Water Resour. Plann. Manage., 137: 72-82.
Direct Link  |  

Ashaary, N.A., W.H.W. Ishak and K.K.R. Mahamud, 2015. Neural network application in the change of reservoir water level stage forecasting. Indian J. Sci. Technol., 8: 1-6.
CrossRef  |  Direct Link  |  

Chiang, J.L. and Y.S. Tsai, 2012. Reservoir drought prediction using support vector machines. Appl. Mech. Mater., 145: 455-459.
Direct Link  |  

Ishak, W.H.W., K.K.R. Mahamud and N.M. Morwawi, 2011. Conceptual model of intelligent decision support system based on naturalistic decision theory for reservoir operation during emergency situation. Intl. J. Civil Environ. Eng., 11: 6-11.
Direct Link  |  

Ishak, W.H.W., K.K.R. Mahamud and N.M. Norwawi, 2011. Intelligent Decision Support Model Based on Neural Network to Support Reservoir Water Release Decision. In: Software Engineering and Computer Systems, Jasni, M.Z., M.B.W.M. Wan and E.E. Qawasmeh (Eds.). Springer, Berlin, Germany, ISBN:978-3-642-22169-9, pp: 365-379.

Ishak, W.W., K.R.K. Mahamud and N.M. Norwawi, 2012. Modelling reservoir water release decision using temporal data mining and neural network. Intl. J. Emerg. Technol. Adv. Eng., 2: 422-428.

Mahamud, K.K.R., N. Zakaria, N. Katuk and M. Shbier, 2009. Flood pattern detection using sliding window technique. Proceedings of the 2009 Third Asia International Conference on Modelling and Simulation, May 25-29, 2009, IEEE, Changlun, Malaysia, ISBN:978-1-4244-4154-9, pp: 45-50.

Moeini, R., A. Afshar and M.H. Afshar, 2011. Fuzzy rule-based model for hydropower reservoirs operation. Intl. J. Electr. Power Energy Syst., 33: 171-178.
Direct Link  |  

Mokhtar, S.A., W.H.W. Ishak and N.M. Norwawi, 2014. Modelling of reservoir water release decision using neural network and temporal pattern of reservoir water level. Proceedings of the 2014 5th International Conference on Intelligent Systems, Modelling and Simulation, January 27-29, 2014, IEEE, Sintok, Malaysia, ISBN:978-1-4799-3858-2, pp: 127-130.

Norwawi, M.N., K.K.R. Mahamud and D. Safaai, 2005. Recognition decision-making model using temporal data mining technique. J. ICT., 4: 37-56.

Nwobi, O.C.C. and A.C. Igboanugo, 2013. Predicting water levels at Kainji Dam using artificial neural networks. Nigeria J. Technol., 32: 129-136.

Pallant, J., 2007. SPSS Survival Manual: A Step by Step Guide to Data Analysis using SPSS for Windows. Open University Press, New York, USA.,.

Rani, S. and F. Parekh, 2014. Predicting reservoir water level using artificial neural network. Intl. J. Innov. Res. Sci. Eng. Technol., 3: 14489-14496.

Sattari, M.T., K. Yurekli and M. Pal, 2012. Performance evaluation of artificial neural network approaches in forecasting reservoir inflow. Appl. Math. Modell., 36: 2649-2657.
Direct Link  |  

Stam, A., K.A. Salewicz and J.E. Aronson, 1998. An interactive reservoir management system for Lake Kariba. Eur. J. Oper. Res., 107: 119-136.
CrossRef  |  Direct Link  |  

Tabachnick, B.G. and L.S. Fidell, 2007. Using Multivariate Statistics. 5th Edn., Pearson Education, Boston, MA., ISBN-13: 9780205465255, Pages: 980.

Wei, C.C., 2012. Discretized and continuous target fields for the reservoir release rules during floods. Water Resour. Manage., 26: 3457-3477.
CrossRef  |  Direct Link  |