Optimal scheduling of neural network-based estimated renewable energy nanogrid

HIGHLIGHTS

• who: Asad Ali and collaborators from the Department of Electrical Engineering, University of Engineering and Technology, AandM University, Galveston, TX, USA have published the research: Optimal Scheduling of Neural Network-Based Estimated Renewable Energy Nanogrid, in the Journal: Energies 2022, 15, x FOR PEER REVIEW of /2022/
• what: The aim of this research is to propose model that will serve the purpose of providing the facility of electrical power to the poor rural community in using hybrid sources. The following objectives have been obtained from the proposed research: (a) (b) (c) To propose a grid . . .
  

   

  

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