Neural Network Based Decision Support Model for Optimal Reservoir Operation

A decision support model (DSM) has been developed using the artificial neural networks (ANN) for optimal operation of a reservoir in south India. The DSM developed is a combination of a rule based expert system and ANN models, which are trained using the results from deterministic single reservoir optimisation algorithm. The developed DSM is also flexible to use multiple linear regression equations instead of trained neural network models for different time periods. A new approach is tried with the DSM based on trained neural network models, which use real time data of previous time periods for deciding operating policies. The developed DSM based on ANN outperforms the regression based approach.

[1]  Witold F. Krajewski,et al.  Rainfall forecasting in space and time using a neural network , 1992 .

[2]  N. Bhaskar,et al.  Derivation of monthly reservoir release policies , 1980 .

[3]  V. Chandramouli,et al.  Multireservoir Modeling with Dynamic Programming and Neural Networks , 2001 .

[4]  A. Turgeon,et al.  Learning disaggregation technique for the operation of long‐term hydroelectric power systems , 1994 .

[5]  V. Chandramouli,et al.  Deriving a General Operating Policy for Reservoirs Using Neural Network , 1996 .

[6]  D. K. Srivastava,et al.  Application of ANN for Reservoir Inflow Prediction and Operation , 1999 .

[7]  Shie-Yui Liong,et al.  River Stage Forecasting in Bangladesh: Neural Network Approach , 2000 .

[8]  William W.-G. Yeh,et al.  Reservoir Management and Operations Models: A State‐of‐the‐Art Review , 1985 .

[9]  Alessandro Ancarani,et al.  A Neural Networks Approach for Deriving Irrigation Reservoir Operating Rules , 2002 .

[10]  G. K. Young.  Finding Reservoir Operating Rules , 1967 .

[11]  Peter K. Kitanidis,et al.  Limitations of Deterministic Optimization Applied to Reservoir Operations , 1999 .

[12]  Kuolin Hsu,et al.  Artificial Neural Network Modeling of the Rainfall‐Runoff Process , 1995 .

[13]  Nachimuthu Karunanithi,et al.  Neural Networks for River Flow Prediction , 1994 .

[14]  L. L. Rogers,et al.  Optimization of groundwater remediation using artificial neural networks with parallel solute transport modeling , 1994 .

[15]  Rao S. Govindaraju,et al.  Prediction of watershed runoff using Bayesian concepts and modular neural networks , 2000 .

[16]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[17]  A. Elshorbagy,et al.  Performance Evaluation of Artificial Neural Networks for Runoff Prediction , 2000 .

[18]  M. Karamouz,et al.  Annual and monthly reservoir operating rules generated by deterministic optimization , 1982 .