Neural-Wavelet Based Hybrid Model for Short-Term Load Forecasting

D. K. Chaturvedi, Sinha Anand Premdayal


Exactly power load forecasting especially the short term load forecasting is of important significance in the case of energy shortage today. Conventional ANN-based load forecasting methods deal with 24-hour-ahead load forecasting. In this research, the application of neural networks to study the design of Short Term load Forecasting (STLF) Systems for 33 kv Substation of Dayalbagh Educational Institute, Agra was explored. The paper has introduced the neural networks and how we can use it to forecast electric power load.  This paper proposes a model developed through neural-Wavelet for prediction of short-term load forecasting.

Keywords: Wavelet transforms, ANN, Load forecast, Short-term load forecast

Full Text: PDF
Download the IISTE publication guideline!

To list your conference here. Please contact the administrator of this platform.

Paper submission email:

ISSN (Paper)2224-5774 ISSN (Online)2225-0492

Please add our address "" into your email contact list.

This journal follows ISO 9001 management standard and licensed under a Creative Commons Attribution 3.0 License.

Copyright ©