A novel Huffman coding based approach to reduce the size of large data array

Development of lossless compression algorithms for power system operational data

“…CR is the ratio of actual and compressed data size which is an important parameter to determine the effectiveness of any compression algorithm. Higher will be the CR, better will be the compression algorithm [17,21]. It is obvious that CR achieved by lossy compression techniques is higher than that achieved by lossless techniques.…”

“…It is obvious that CR achieved by lossy compression techniques is higher than that achieved by lossless techniques. Huffman coding and basic arithmetic coding-based algorithms developed in [17,18] can achieve CR in the order of 2 and 3, respectively, when tested with practical unit commitment data.…”

“…Although arithmetic coding-based algorithms [2] and RLDA [3] are developed for compressing data associated with different applications, some similarities were observed. Two compression algorithms based on Huffman and basic arithmetic coding are developed for compressing unit commitment data arrays [17,18]. However, the CR obtained with these conventional entropy-based compression algorithms are much below 5.…”

“…The structure of the scheduling charts for GS and distribution company(s) is different. For any GS, generation schedule is prepared after considering the ramp-up or ramp-down rate of the alternator in (MW/h), minimum generation of the alternator and the ratio of minimum and maximum generation level [1, [17][18][19][20]. The survey of 954 unit commitment data of six GS for 159 days during March 2015 and February 2016 [19] gives some interesting results.…”

Deep Lossless Compression Algorithm Based on Arithmetic Coding for Power Data

“…Das [ 22 ] proposed four arithmetic coding schemes for compressing power data. Sarkar [ 23 , 24 ] developed two compression algorithms based on Huffman and basic arithmetic coding for compressing combined data arrays. However, the performance of these traditional entropy coding algorithms should be improved.…”