Short Term Load Forecasting Using BP Neural Networks Optimized by Partical Swarm Optimization

Faculty Engineering Year: 2013
Type of Publication: ZU Hosted Pages:
Authors:
Mohammed Abdelfattah Mohamed Farahat
Journal: International Review on Modelling and Simulations (I. RE. MO. S.) Journal Praise Worthy Prize Volume:
Keywords : Short Term Load Forecasting Using , Neural    
Abstract:
Electric power system load forecasting plays an important role in the energy management system (EMS), which has great effect on the operation, controlling and planning of electric power system. A precise electric power system short term loa
    
     
 
       

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, "A New Artificial Neural Network Approach with Selected Inputs for Short Term Electric Load Forecasting", Praise Worthy Prize, 2008 More
  • Mohammed Abdelfattah Mohamed Farahat, "Factors Affecting the Life Time of the Electric Joints", Cairo University, 2010 More

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