{"id":"https://openalex.org/W2736193136","doi":"https://doi.org/10.1109/ijcnn.2017.7965974","title":"Compress-filtering and transfer-expanding of data set for short-term load forecasting","display_name":"Compress-filtering and transfer-expanding of data set for short-term load forecasting","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2736193136","doi":"https://doi.org/10.1109/ijcnn.2017.7965974","mag":"2736193136"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7965974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7965974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055170451","display_name":"Pan Zeng","orcid":"https://orcid.org/0000-0002-6674-9749"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zeng","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, PR China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061391892","display_name":"Di Wu","orcid":"https://orcid.org/0000-0001-8697-1817"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, PR China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030110245","display_name":"Min Jin","orcid":"https://orcid.org/0000-0002-4858-8048"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Jin","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, PR China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":1.5168,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79249749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1095","last_page":"1101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.7814180850982666},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.6957124471664429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6758750677108765},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6729702949523926},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.61826491355896},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5799659490585327},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5374593734741211},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5314551591873169},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4901045262813568},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.44945353269577026},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.42398735880851746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2647712230682373},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25256669521331787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1701868176460266}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7814180850982666},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.6957124471664429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758750677108765},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6729702949523926},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.61826491355896},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5799659490585327},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5374593734741211},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5314551591873169},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4901045262813568},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.44945353269577026},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.42398735880851746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2647712230682373},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25256669521331787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1701868176460266},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7965974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7965974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1967433954","https://openalex.org/W1977362693","https://openalex.org/W1982169178","https://openalex.org/W1987811393","https://openalex.org/W1991274233","https://openalex.org/W1991542020","https://openalex.org/W2001842434","https://openalex.org/W2008750647","https://openalex.org/W2015799639","https://openalex.org/W2016210396","https://openalex.org/W2026908939","https://openalex.org/W2057529458","https://openalex.org/W2067847508","https://openalex.org/W2070870865","https://openalex.org/W2076163358","https://openalex.org/W2081060955","https://openalex.org/W2094054185","https://openalex.org/W2100613615","https://openalex.org/W2111478371","https://openalex.org/W2113589985","https://openalex.org/W2113771848","https://openalex.org/W2117130368","https://openalex.org/W2120046447","https://openalex.org/W2121844625","https://openalex.org/W2122838776","https://openalex.org/W2133100867","https://openalex.org/W2141789512","https://openalex.org/W2153635508","https://openalex.org/W2163302275","https://openalex.org/W2165698076","https://openalex.org/W2168138569","https://openalex.org/W3120421331","https://openalex.org/W6684149856"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W2319693127","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2056226831","https://openalex.org/W2806903871","https://openalex.org/W4320802053","https://openalex.org/W1549395822"],"abstract_inverted_index":{"In":[0,70],"short-term":[1],"load":[2,22,32,49,115,138,151,160,169,196],"forecasting,":[3],"dataset":[4,53,56],"construction":[5,57],"plays":[6],"a":[7,172],"vital":[8],"role":[9],"in":[10,87],"the":[11,21,25,31,35,40,43,68,76,90,94,111,114,119,125,131,134,137,141,145,150,156,159,168,181,184,188,202,209,214],"improvement":[12],"of":[13,24,34,42,45,96,118,124,133,136,158,183],"forecasting":[14],"accuracy.":[15],"This":[16],"paper":[17],"begins":[18],"with":[19,201],"filtering":[20],"data":[23,33,83,86,139,182,197],"target":[26,142,189],"city,":[27],"transferring":[28],"and":[29,38,48,61,93,122,144,208,223],"expanding":[30,212],"nearby":[36,146],"cities,":[37,147],"analysing":[39],"influence":[41],"periodicity":[44],"load,":[46],"holiday":[47],"growth":[50,152,170],"rate":[51,153],"on":[52,67,130,167,194],"construction.":[54],"A":[55],"method":[58,79,175,207],"combining":[59],"compress-filtering":[60],"transfer-expanding":[62],"is":[63,107,176,219],"then":[64],"proposed":[65],"based":[66,129],"analysis.":[69],"this":[71],"method,":[72,213],"firstly,":[73],"we":[74,148],"apply":[75],"mean":[77,215],"compress":[78,81],"to":[80,110,154,187],"monthly":[82],"into":[84,102],"weekly":[85],"which":[88,179],"both":[89],"periodic":[91],"trend":[92],"randomness":[95],"other":[97],"related":[98],"factors":[99],"are":[100],"taken":[101],"consideration.":[103],"The":[104,191],"training":[105],"set":[106],"selected":[108],"according":[109],"similarity":[112,135],"between":[113,140,163],"variation":[116,161],"pattern":[117],"predicted":[120],"month":[121],"that":[123],"historical":[126],"data.":[127],"Secondly,":[128],"analysis":[132],"city":[143,186],"introduce":[149],"measure":[155],"difference":[157],"patterns":[162],"different":[164],"cities.":[165],"Based":[166],"rate,":[171],"transfer":[173,211],"learning":[174],"put":[177],"forward":[178],"transfers":[180],"source":[185],"city.":[190],"case":[192],"study":[193],"real":[195],"shows":[198],"that,":[199],"compared":[200],"mutual":[203],"information":[204],"filtering-based":[205],"predicting":[206],"knowledge":[210],"absolute":[216],"percent":[217],"error":[218],"decreased":[220],"by":[221],"26%":[222],"9.5%,":[224],"respectively.":[225]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}