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Water Distribution Network System

Nilay Verma, Balram Shahu, Amit Verma, Rahul Yadav, Sohail Khan, Ravi Mishra

Abstract


The objective of this research is to ideal operation of water distribution networks can be posed as a scheduling problem where the objective is to meet the time-varying demand while meeting constraints on supply, pressure, etc. The first use of deep learning for the simulation, optimization, and operation control of water distribution networks is described in this paper. It details the development of a systematic deep-learning framework with the potential application of facilitating data fusion, System simulation, etc.

 


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References


Bhave, P. R., & Gupta, R. (2006). Analysis of water distribution networks. Alpha Science Int'l Ltd.

Chinnusamy, S., Mohandoss, P., Kurian, V., Narasimhan, S., & Narasimhan, S. (2018). Operation of intermittent water distribution systems: An experimental study. In Computer Aided Chemical Engineering (Vol. 44, pp. 1975-1980). Elsevier.

Kurian, V., Narasimhan, S., & Narasimhan, S. (2018). Optimal scheduling of rural water supply schemes. IFAC-PapersOnLine, 51(1), 142-147.

Lobo, M. S., Vandenberghe, L., Boyd, S., & Lebret, H. (1998). Applications of second-order cone programming. Linear algebra and its applications, 284(1-3), 193-228.

Mala-Jetmarova, H., Sultanova, N., & Savic, D. (2017). Lost in optimisation of water distribution systems? A literature review of system operation. Environmental modelling & software, 93, 209-254.


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