Segmentation and Entropy Coding Analysis of a Data Compression System for Power Quality Disturbances

Amidst the huge data generated from power systems monitoring structures, the demand for better data storage and streaming emerged. In this paper the problem is characterized and a solution is proposed. Utilizing signal processing methods into the field of energy quality, is possible to compress and segment the power signal. Transformations such as wavelets transforms and entropy encoders are applied in a processing pipeline to reduce the bandwidth necessary to transfer the data.