{"id":"https://openalex.org/W2810273358","doi":"https://doi.org/10.23919/mipro.2018.8400195","title":"Countywide natural gas consumption forecast, a machine learning approach","display_name":"Countywide natural gas consumption forecast, a machine learning approach","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2810273358","doi":"https://doi.org/10.23919/mipro.2018.8400195","mag":"2810273358"},"language":"en","primary_location":{"id":"doi:10.23919/mipro.2018.8400195","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2018.8400195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","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/A5019626361","display_name":"Zlatan Si\u010danica","orcid":"https://orcid.org/0000-0001-9731-3000"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zlatan Sicanica","raw_affiliation_strings":["Kon\u010dar \u2013 Power Plant and Electric Traction Engineering Inc., Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"Kon\u010dar \u2013 Power Plant and Electric Traction Engineering Inc., Zagreb, Croatia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035496102","display_name":"Zdravko Oklopcic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zdravko Oklopcic","raw_affiliation_strings":["Kon\u010dar \u2013 Power Plant and Electric Traction Engineering Inc., Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"Kon\u010dar \u2013 Power Plant and Electric Traction Engineering Inc., Zagreb, Croatia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019626361"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3863,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62387913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1070","last_page":"1073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9991999864578247,"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":0.9991999864578247,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9631999731063843,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6674193143844604},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6603906154632568},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6563053131103516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6389703750610352},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.583648145198822},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5421745181083679},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48431745171546936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4822750389575958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46766531467437744},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.45123252272605896},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4424572288990021},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28864097595214844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18246421217918396}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6674193143844604},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6603906154632568},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6563053131103516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6389703750610352},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.583648145198822},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5421745181083679},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48431745171546936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4822750389575958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46766531467437744},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.45123252272605896},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4424572288990021},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28864097595214844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18246421217918396},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.23919/mipro.2018.8400195","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro.2018.8400195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1680392829","https://openalex.org/W1963687576","https://openalex.org/W1967379861","https://openalex.org/W1977432880","https://openalex.org/W2088478294","https://openalex.org/W2092514020","https://openalex.org/W2566970311","https://openalex.org/W2759257403","https://openalex.org/W2963042647"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W4224922629","https://openalex.org/W2575795810","https://openalex.org/W4400591661","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W2101914902","https://openalex.org/W3174613421"],"abstract_inverted_index":{"This":[0],"paper":[1,78],"proposes":[2],"several":[3],"machine":[4],"learning":[5],"models":[6,24,39],"for":[7,16],"gas":[8,88],"consumption":[9,12],"forecast.":[10],"The":[11,48,73],"data":[13],"used":[14,50,81],"is":[15,56,89],"a":[17,97],"county":[18,93],"in":[19,76,91,101],"Croatia,":[20],"and":[21,33,94],"the":[22,38,53,57,60,66,70,85,92,102],"considered":[23],"are":[25],"decision":[26],"trees,":[27],"linear":[28],"regressors,":[29],"support":[30],"vector":[31],"regression,":[32],"neural":[34],"networks.":[35],"Most":[36],"of":[37,59],"show":[40],"promising":[41],"results":[42],"when":[43],"compared":[44],"to":[45,51,82,95],"similar":[46],"research.":[47],"criterion":[49],"identify":[52],"forecast":[54,67],"quality":[55],"root":[58],"mean":[61],"squared":[62],"error,":[63],"error":[64],"being":[65],"difference":[68],"from":[69],"expected":[71],"value.":[72],"findings":[74],"presented":[75],"this":[77],"can":[79],"be":[80],"better":[83],"understand":[84],"way":[86],"natural":[87],"consumed":[90],"create":[96],"more":[98],"sophisticated":[99],"regressor":[100],"future.":[103]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
