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Neural Network Presentation

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BY UDUEHI OMOYE I. 10/29/2009 1 LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS
WHY LOAD FORECASTING? 10/29/2009 2 PROPER PLANNING OF POWER SYSTEMS IS A VERY IMPORTANT PART OF POWER SYSTEMS OPERATION LOAD FORECASTS ARE AN IMPORTANT FACTOR FOR PLANNING IN THE LONG, SHORT AND MEDIUM TERM THIS PROJECT AIMS TO SOLVE A LOAD FORECAST PROBLEM TAKING THE UNIVERSITY OF LAGOS AS THE SAMPLE SPACE.
HOW? 10/29/2009 3 BY USING A NEURAL NETWORK THIS IS A NETWORK OF INTERCONNECTED MATHEMATICAL ELEMENTS THAT ARE USED TO SOLVE COMPLEX PROBLEMS
METHODOLOGY 10/29/2009 4 FIRST GATHERING AND ARRANGING THE DATA TAGGING THE DATA INTO GROUPS DETERMINING THE NETWORK TYPE AND TOPOLOGY TRAINING THE NETWORK USING THE CHOSEN ALGORITHM ANALYSES
IMPLEMENTATION 10/29/2009 5 GATHERING AND ARRANGING THE DATA IN MS EXCEL SPREADSHEET RANDOMIZATION AND TAGGING THE DATA NETWORK TOPOLOGY DETERMINATION (MAINLY BY EXPERIMENTATION) TRAINING WITH CROSS VALIDATION TESTING SENSITIVITY AND MSE ANALYSIS
MSE CROSS VALIDATION 10/29/2009 6
FINAL NETWORK TOPOLOGY 10/29/2009 7
RESULTS 10/29/2009 8 TESTING DATA RESULTS
10/29/2009 9 THANK YOU!

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Neural Network Presentation

  • 1. BY UDUEHI OMOYE I. 10/29/2009 1 LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS
  • 2. WHY LOAD FORECASTING? 10/29/2009 2 PROPER PLANNING OF POWER SYSTEMS IS A VERY IMPORTANT PART OF POWER SYSTEMS OPERATION LOAD FORECASTS ARE AN IMPORTANT FACTOR FOR PLANNING IN THE LONG, SHORT AND MEDIUM TERM THIS PROJECT AIMS TO SOLVE A LOAD FORECAST PROBLEM TAKING THE UNIVERSITY OF LAGOS AS THE SAMPLE SPACE.
  • 3. HOW? 10/29/2009 3 BY USING A NEURAL NETWORK THIS IS A NETWORK OF INTERCONNECTED MATHEMATICAL ELEMENTS THAT ARE USED TO SOLVE COMPLEX PROBLEMS
  • 4. METHODOLOGY 10/29/2009 4 FIRST GATHERING AND ARRANGING THE DATA TAGGING THE DATA INTO GROUPS DETERMINING THE NETWORK TYPE AND TOPOLOGY TRAINING THE NETWORK USING THE CHOSEN ALGORITHM ANALYSES
  • 5. IMPLEMENTATION 10/29/2009 5 GATHERING AND ARRANGING THE DATA IN MS EXCEL SPREADSHEET RANDOMIZATION AND TAGGING THE DATA NETWORK TOPOLOGY DETERMINATION (MAINLY BY EXPERIMENTATION) TRAINING WITH CROSS VALIDATION TESTING SENSITIVITY AND MSE ANALYSIS
  • 6. MSE CROSS VALIDATION 10/29/2009 6
  • 7. FINAL NETWORK TOPOLOGY 10/29/2009 7
  • 8. RESULTS 10/29/2009 8 TESTING DATA RESULTS