{"id":"https://openalex.org/W3115106996","doi":"https://doi.org/10.1109/ictc49870.2020.9289575","title":"Machine Learning-based Analysis of correlation between Energy Consumption data of the Company and its Sales","display_name":"Machine Learning-based Analysis of correlation between Energy Consumption data of the Company and its Sales","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3115106996","doi":"https://doi.org/10.1109/ictc49870.2020.9289575","mag":"3115106996"},"language":"en","primary_location":{"id":"doi:10.1109/ictc49870.2020.9289575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},"type":"article","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/A5027992420","display_name":"Jungi Lee","orcid":"https://orcid.org/0000-0003-4633-0737"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jungi Lee","raw_affiliation_strings":["Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea"],"affiliations":[{"raw_affiliation_string":"Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087454446","display_name":"Nac\u2010Woo Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"NacWoo Kim","raw_affiliation_strings":["Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea"],"affiliations":[{"raw_affiliation_string":"Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765146","display_name":"Hyun-Yong Lee","orcid":"https://orcid.org/0000-0002-0615-4241"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"HyunYong Lee","raw_affiliation_strings":["Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea"],"affiliations":[{"raw_affiliation_string":"Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690662","display_name":"Sangjun Park","orcid":"https://orcid.org/0000-0003-4975-042X"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SangJun Park","raw_affiliation_strings":["Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea"],"affiliations":[{"raw_affiliation_string":"Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000650888","display_name":"Byung\u2010Tak Lee","orcid":"https://orcid.org/0000-0003-1372-4561"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"ByungTak Lee","raw_affiliation_strings":["Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea"],"affiliations":[{"raw_affiliation_string":"Honam Research Center (HRC), Electronics and Telecommunications Research Institute (ETRI), Gwangju, Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027992420"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17642517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1258","last_page":"1260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.8407933712005615},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7659292817115784},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6892834901809692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6013135313987732},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5814439654350281},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5577815771102905},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4638718366622925},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4556385278701782},{"id":"https://openalex.org/keywords/data-correlation","display_name":"Data correlation","score":0.4530366361141205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4510025382041931},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4409932494163513},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.4394097626209259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43442028760910034},{"id":"https://openalex.org/keywords/sales-management","display_name":"Sales management","score":0.4297235906124115},{"id":"https://openalex.org/keywords/sales-forecasting","display_name":"Sales forecasting","score":0.42954200506210327},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39286261796951294},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.25618451833724976},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15852615237236023},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.15547460317611694},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.1504027545452118},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13089364767074585},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12074312567710876},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.11319828033447266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08432283997535706}],"concepts":[{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.8407933712005615},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7659292817115784},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6892834901809692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6013135313987732},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5814439654350281},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5577815771102905},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4638718366622925},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4556385278701782},{"id":"https://openalex.org/C2985953642","wikidata":"https://www.wikidata.org/wiki/Q186290","display_name":"Data correlation","level":2,"score":0.4530366361141205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4510025382041931},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4409932494163513},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.4394097626209259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43442028760910034},{"id":"https://openalex.org/C139749660","wikidata":"https://www.wikidata.org/wiki/Q5657855","display_name":"Sales management","level":2,"score":0.4297235906124115},{"id":"https://openalex.org/C2984642479","wikidata":"https://www.wikidata.org/wiki/Q7404320","display_name":"Sales forecasting","level":2,"score":0.42954200506210327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39286261796951294},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.25618451833724976},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15852615237236023},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.15547460317611694},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1504027545452118},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13089364767074585},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12074312567710876},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.11319828033447266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08432283997535706},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc49870.2020.9289575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W1985082033","https://openalex.org/W2021438181","https://openalex.org/W2295598076","https://openalex.org/W2768348081","https://openalex.org/W2801285981","https://openalex.org/W3102476541","https://openalex.org/W6745609711"],"related_works":["https://openalex.org/W4328094257","https://openalex.org/W2674988168","https://openalex.org/W4288049618","https://openalex.org/W4205366572","https://openalex.org/W2990584107","https://openalex.org/W2051089281","https://openalex.org/W3008953065","https://openalex.org/W1581884750","https://openalex.org/W3170395704","https://openalex.org/W4250153710"],"abstract_inverted_index":{"This":[0],"paper":[1],"has":[2,86],"researched":[3],"about":[4],"the":[5,16,26,43,74,79,92,104],"correlation":[6],"between":[7],"company":[8,66],"data,":[9],"and":[10,49],"its":[11],"annual":[12,28],"sales":[13,29,75],"data.":[14,34],"Using":[15],"identified":[17],"correlation,":[18],"we":[19],"propose":[20],"a":[21,99],"new":[22,100],"method":[23,101],"of":[24,52,76,102,106],"predicting":[25,103],"company's":[27],"data":[30,62,68,95],"with":[31,69],"energy":[32,60,93],"consumption":[33,61,94],"For":[35],"this":[36,56],"work,":[37],"gradient":[38,80],"boosting":[39,81],"was":[40],"applied":[41],"to":[42,72,90,98],"predictive":[44],"learning":[45,84],"model":[46,85],"for":[47],"effective":[48],"better":[50],"performance":[51],"prediction.":[53],"To":[54],"implement":[55],"method,":[57],"district":[58],"address-based":[59],"is":[63],"merged":[64],"into":[65],"survey":[67],"pre-processing.":[70],"Then":[71],"predict":[73],"each":[77],"company,":[78],"based":[82],"machine":[83],"applied.":[87],"Our":[88],"approach":[89],"utilizing":[91],"can":[96],"contribute":[97],"status":[105],"companies.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}