Forecasting and modelling the uncertainty of low voltage network demand and the effect of renewable energy sources

HIGHLIGHTS

  • who: Feras Alasali and collaborators from the Department of Electrical Engineering, The Hashemite University, Zarqa, Jordan Aston Institute of Materials Research, Aston University, Birmingham B ET, UK have published the paper: Forecasting and Modelling the Uncertainty of Low Voltage Network Demand and the Effect of Renewable Energy Sources, in the Journal: Energies 2021, 14, x FOR PEER REVIEW of /2021/
  • what: The authors provide detailed LV demand analysis and a variety of forecasting methods in terms of a probabilistic new optimization learning algorithm called the Golden Ratio Optimization Method (GROM) for an Artificial Neural Network . . .

     

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