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- W4384788992 abstract "In this paper, an optimization framework is proposed in order to optimal operation of a water desalination unit in a sustainable green energy network. The operation problem is modeled as a mixed integer linear programming (MILP) and optimized using a mathematical based optimization algorithm. In order to increase the flexibility of the studied sustainable energy system, a fuel cell unit and hydrogen-based vehicles have been included in the system. Moreover, the uncertainty of stochastic parameters has been considered and a machine learning based method namely long short term memory (LSTM) algorithm is utilized for forecasting of the parameters. The proposed methodology is applied on a typical case study and the simulation results are extracted and discussed." @default.
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- W4384788992 date "2023-01-01" @default.
- W4384788992 modified "2023-09-28" @default.
- W4384788992 title "Optimal operation of a sustainable water desalination unit integrated a green energy system" @default.
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- W4384788992 doi "https://doi.org/10.1016/b978-0-443-15274-0.50463-7" @default.
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