Peak load demand forecasting using two-level discrete wavelet decomposition and neural network algorithm

Pituk Bunnoon; Kusumal Chalermyanont; Chusak Limsakul

doi:10.1117/12.853203

26 February 2010 Peak load demand forecasting using two-level discrete wavelet decomposition and neural network algorithm

Pituk Bunnoon, Kusumal Chalermyanont, Chusak Limsakul

Author Affiliations +

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75460B (2010) https://doi.org/10.1117/12.853203
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

This paper proposed the discrete transform and neural network algorithms to obtain the monthly peak load demand in mid term load forecasting. The mother wavelet daubechies2 (db2) is employed to decomposed, high pass filter and low pass filter signals from the original signal before using feed forward back propagation neural network to determine the forecasting results. The historical data records in 1997-2007 of Electricity Generating Authority of Thailand (EGAT) is used as reference. In this study, historical information of peak load demand(MW), mean temperature(Tmean), consumer price index (CPI), and industrial index (economic:IDI) are used as feature inputs of the network. The experimental results show that the Mean Absolute Percentage Error (MAPE) is approximately 4.32%. This forecasting results can be used for fuel planning and unit commitment of the power system in the future.

Citation Download Citation

Pituk Bunnoon, Kusumal Chalermyanont, and Chusak Limsakul "Peak load demand forecasting using two-level discrete wavelet decomposition and neural network algorithm", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75460B (26 February 2010); https://doi.org/10.1117/12.853203

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available