Application of Artificial Neural Network for Short Term Load Forecasting

Authors

  • Harsh M. Patel Masters Student, Electrical Department , L E College, Gujarat, India
  • Prof. M. H. Pandya Professor, Electrical Department , L E College, Gujarat, India

Keywords:

ANN, Feed Forward Network, Short Term Load Forecasting, Mean Absolute Percentage Error (MAPE).

Abstract

— In this paper Artificial Neural Network (ANN) is use to study the Short Term Load Forecasting. The Feed
forward Network is use for Day Ahead Hourly Load Forecast. One Fast training algorithm Levenberg-Marquardt (LM)
is use for getting data accurate Result. The Model is train using Historical data of ISO New England. Only one month 30
Day November month load data is use. For Very accurate and less error weather data and Holiday is consider. The
sensitivity of the parameters is also researched. In parameters the weather data, Holiday and change the number of
Neurons all case is consider. For Network Performance MAE and MAPE is find.

Published

2015-04-25

How to Cite

Harsh M. Patel, & Prof. M. H. Pandya. (2015). Application of Artificial Neural Network for Short Term Load Forecasting . International Journal of Advance Engineering and Research Development (IJAERD), 2(4), 256–264. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/627