Title :
Wavelet analysis and electric power market E-commerce
Author :
Zhengyou, He ; Qingquan, Qian ; Zhibing, Wang
Author_Institution :
Inst. of Electrification & Autom., Southwest Jiaotong Univ., Chengdu, China
Abstract :
The outlines principle from Fourier transform to wavelet analysis technology including Fourier transform, short time Fourier transform, continuous wavelet transform, discrete wavelet transform are presented. Based on this, a E-commerce model applied in electric power market is investigated, in this model, wavelet analysis can be applied to solve series problems. So, wavelet based power system signal denoises and compression techniques, wavelet based security attestation techniques, wavelet based data mining and information fusion techniques, wavelet based loads forecasting and electricity price forecasting techniques, wavelet neural networks based data mining and information fusion techniques are discussed.
Keywords :
Fourier transforms; data compression; data mining; discrete wavelet transforms; electronic commerce; neural nets; security of data; signal denoising; watermarking; E-commerce; Fourier transform; continuous wavelet transform; discrete wavelet transform; electric power market; electricity price forecasting technique; electron watermarking; short time Fourier transform; wavelet analysis technology; wavelet based compression technique; wavelet based data mining; wavelet based information fusion technique; wavelet based loads forecasting; wavelet based power system signal; wavelet based security attestation technique; wavelet neural networks; Continuous wavelet transforms; Data mining; Discrete Fourier transforms; Discrete wavelet transforms; Fourier transforms; Load forecasting; Power system analysis computing; Power system modeling; Power system security; Wavelet analysis;
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on
Print_ISBN :
0-7803-7840-7
DOI :
10.1109/PDCAT.2003.1236400