Power Engineering Journal, Vol.11, No.2, 91-95, 1997
Principles of electricity demand forecasting .2. Applications
In Part 1 of this two-part article (PEJ, June 1996), the importance of electricity demand forecasting, factors influencing the various ranges of demand forecasting, and their correlation and contribution to demand were discussed. Various models which can be used to identify the demand pattern and underlying growth to predict future demand were presented. A step-by-step method of building a forecasting model was also provided. In this concluding tutorial, the techniques discussed earlier will be applied to generate load and energy forecasts for a rapidly growing utility.
Keywords:ARTIFICIAL NEURAL-NETWORK;LOAD