Development of optimized wavelet transform techniques for data compression in smart grid data

Abstract

The evolution of smart grid systems has become essential to newlineaddress the reliability and efficiency challenges faced by traditional power newlinegrids. Smart grid systems leverage advanced technologies to improve grid newlinereliability, security, and efficiency of the power grid. However, they introduce newlinetechnical challenges, particularly in managing the vast amounts of real-time newlinedata generated by monitoring and measuring devices. This research addresses newlinethese data management challenges, focusing on data compression techniques, newlinewhich are crucial for efficiently handling the large volumes of data generated newlineby smart grid systems. By reducing data length while preserving important newlineinformation, data compression enhances data storage, transmission, and newlineprocessing efficiency within the smart grid environment. However, smart grid newlinedata compression faces unique challenges due to the continuous, varied newlinestream of data from sources like sensors, meters, and control devices. They newlineneed to process this data quickly using compression techniques. Also, the newlinehigh accuracy requirements in smart grid applications pose a challenge in newlinebalancing the compression ratio while maintaining data accuracy. To Address newlinethese challenges, an innovative technique with optimization algorithms is newlineneeded for data compression in smart grid applications. newline