A New Artificial Neural Network Approach with Selected Inputs for Short Term Electric Load Forecasting

Faculty Engineering Year: 2008
Type of Publication: ZU Hosted Pages:
Authors:
Mohammed Abdelfattah Mohamed Farahat
Journal: International Review of Electrical Engineering (IREE) Journal Praise Worthy Prize Volume:
Keywords : , , Artificial , Neural Network Approach with Selected    
Abstract:
A new improved inputs selection approach for artificial neural networks (ANN) is proposed to model and forecast time series. The procedure makes use of the correlation analysis of the time series data both in selecting the inputs to the ANN
    
     
 
       

Author Related Publications

  • Mohammed Abdelfattah Mohamed Farahat, "A New Approach for Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", IEEE, 2010 More
  • Mohammed Abdelfattah Mohamed Farahat, "Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", SAP journals, 2012 More
  • Mohammed Abdelfattah Mohamed Farahat, "The Using of Curve Fitting Prediction Optimized by Genetic Algorithms for Short-Term Load Forecasting", Praise Worthy Prize, 2012 More
  • Mohammed Abdelfattah Mohamed Farahat, "Factors Affecting the Life Time of the Electric Joints", Cairo University, 2010 More
  • Mohammed Abdelfattah Mohamed Farahat, "Effect of Parasitic Resistances and Diode Ideality Factor on The Characterization Parameters of Photovoltaic Modules: Matlab Simulation Study", Faculty of Engineering, Minoufia University Shebin El-kom, Egypt, 2011 More

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