{"id":"https://openalex.org/W2993877315","doi":"https://doi.org/10.1145/3368691.3368716","title":"City scale energy demand forecasting using machine learning based models","display_name":"City scale energy demand forecasting using machine learning based models","publication_year":2019,"publication_date":"2019-12-02","ids":{"openalex":"https://openalex.org/W2993877315","doi":"https://doi.org/10.1145/3368691.3368716","mag":"2993877315"},"language":"en","primary_location":{"id":"doi:10.1145/3368691.3368716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368691.3368716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems","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/A5077289693","display_name":"Hussein Al-bayaty","orcid":"https://orcid.org/0000-0001-8188-4722"},"institutions":[{"id":"https://openalex.org/I102254642","display_name":"University of Kirkuk","ror":"https://ror.org/01pk8rb11","country_code":"IQ","type":"education","lineage":["https://openalex.org/I102254642"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Hussein Al-bayaty","raw_affiliation_strings":["University of Kirkuk, Kirkuk, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kirkuk, Kirkuk, Iraq","institution_ids":["https://openalex.org/I102254642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101825527","display_name":"Tareq Abed Mohammed","orcid":"https://orcid.org/0000-0003-3690-4098"},"institutions":[{"id":"https://openalex.org/I102254642","display_name":"University of Kirkuk","ror":"https://ror.org/01pk8rb11","country_code":"IQ","type":"education","lineage":["https://openalex.org/I102254642"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Tareq Mohammed","raw_affiliation_strings":["University of Kirkuk, Kirkuk, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kirkuk, Kirkuk, Iraq","institution_ids":["https://openalex.org/I102254642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038344738","display_name":"Ahmed Ghareeb","orcid":"https://orcid.org/0000-0003-4054-809X"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Ghareeb","raw_affiliation_strings":["University of North Carolina at Charlotte"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331957","display_name":"Weimin Wang","orcid":"https://orcid.org/0000-0002-9852-1589"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weimin Wang","raw_affiliation_strings":["University of North Carolina at Charlotte"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3633,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62897049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9843000173568726,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/scale","display_name":"Scale (ratio)","score":0.6195203065872192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5884681940078735},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.5413565039634705},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.49057430028915405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4212725758552551},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40042123198509216},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.39696958661079407},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.20170632004737854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1784827709197998},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08091935515403748},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0706804096698761}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6195203065872192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5884681940078735},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.5413565039634705},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.49057430028915405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4212725758552551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40042123198509216},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.39696958661079407},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.20170632004737854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1784827709197998},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08091935515403748},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0706804096698761},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3368691.3368716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368691.3368716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems","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":48,"referenced_works":["https://openalex.org/W1944672","https://openalex.org/W431555988","https://openalex.org/W760705008","https://openalex.org/W1511632816","https://openalex.org/W1522958358","https://openalex.org/W1549998098","https://openalex.org/W1560724230","https://openalex.org/W1608292140","https://openalex.org/W1720804347","https://openalex.org/W1967690950","https://openalex.org/W1970635216","https://openalex.org/W1985928089","https://openalex.org/W1995341919","https://openalex.org/W2010069097","https://openalex.org/W2044186388","https://openalex.org/W2051389453","https://openalex.org/W2059002230","https://openalex.org/W2068282695","https://openalex.org/W2076163358","https://openalex.org/W2090536783","https://openalex.org/W2096501632","https://openalex.org/W2112178551","https://openalex.org/W2120526914","https://openalex.org/W2125816831","https://openalex.org/W2140490477","https://openalex.org/W2151767444","https://openalex.org/W2165627882","https://openalex.org/W2187757741","https://openalex.org/W2275088575","https://openalex.org/W2414215381","https://openalex.org/W2536409271","https://openalex.org/W2560597442","https://openalex.org/W2560655418","https://openalex.org/W2574209248","https://openalex.org/W2735345949","https://openalex.org/W2785783567","https://openalex.org/W2794778778","https://openalex.org/W2800369870","https://openalex.org/W2885301212","https://openalex.org/W2885683779","https://openalex.org/W2898623405","https://openalex.org/W2898776936","https://openalex.org/W2899074204","https://openalex.org/W2943722351","https://openalex.org/W2980114222","https://openalex.org/W3144619878","https://openalex.org/W4251817184","https://openalex.org/W6814974804"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W3046775127","https://openalex.org/W4205958290","https://openalex.org/W3107474891","https://openalex.org/W3209574120","https://openalex.org/W3170094116"],"abstract_inverted_index":{"The":[0,111],"rapid":[1],"change":[2],"during":[3],"the":[4,8,13,18,30,38,43,58,78,83,100,115,120,131],"last":[5],"decades":[6],"in":[7,17,29,35,42,54,74,98],"activities":[9],"of":[10,20,37,61,85,107,113,127],"people":[11],"and":[12,119,145],"global":[14],"energy":[15,31,48,109],"trends":[16],"usage":[19],"daily":[21],"equipment,":[22],"led":[23],"to":[24,56,76],"massive":[25],"shortage":[26],"not":[27],"just":[28],"sector,":[32],"but":[33],"almost":[34],"all":[36],"related":[39],"sectors,":[40],"especially":[41],"developing":[44,114],"countries.":[45],"Consequently,":[46],"predicting":[47],"demand":[49,80],"is":[50],"a":[51,105],"vital":[52],"issue":[53],"order":[55,75],"fulfill":[57],"future":[59],"strategy":[60],"any":[62],"country.":[63],"In":[64],"this":[65],"study,":[66],"four":[67,132],"machine":[68],"learning":[69],"algorithms":[70,139],"have":[71],"been":[72],"deployed":[73],"forecast":[77],"short-term":[79],"load":[81],"for":[82],"city":[84],"Kirkuk":[86],"based":[87],"on":[88],"hourly":[89],"recorded":[90],"real":[91],"data.":[92,129],"This":[93],"data-driven":[94],"study":[95],"has":[96],"taken":[97],"count":[99],"metrological":[101],"weather":[102],"data":[103],"as":[104],"function":[106],"electrical":[108],"demand.":[110],"stages":[112],"models":[116,122],"are":[117],"discussed,":[118],"forecasting":[121],"validated":[123],"using":[124],"6":[125],"months":[126],"out-of-sample":[128],"Among":[130],"(Machine":[133],"Learning":[134],"(ML)":[135],"models,":[136],"two":[137],"predictive":[138,151],"(i.e.":[140],"Artificial":[141],"Neural":[142],"Network":[143],"(ANN)":[144],"Decision":[146],"Trees":[147],"(DTs))":[148],"showed":[149],"better":[150],"capabilities":[152],"achieving":[153],"lower":[154],"error":[155],"rates.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}