Abstract
In this paper, an embedded zerotree wavelet transform (EZWT)-based technique is employed for the data denoising and compression in the smart grid (SG). The EZWT is a simple but effective data compression algorithm. This technique does not need any training, prestored tables or codebooks, and prior knowledge of the data source. In this paper, the analysis and subsequent compression and denoising properties of the EZWT are examined for power system signals in SG. The proposed approach is evaluated using phasor measurement units and power system data. Experimental results demonstrate that the presented method both compresses the signal and depresses the noise contained in the signal. Comparative compression and noise removal results are presented with the wavelet transform.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
