{"id":"https://openalex.org/W1580978282","doi":null,"title":"Improving Cities Sustainability through the Use of Data Mining in a Context of Big City Data","display_name":"Improving Cities Sustainability through the Use of Data Mining in a Context of Big City Data","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1580978282","mag":"1580978282"},"language":"en","primary_location":{"id":"pmh:oai:repositorium.sdum.uminho.pt:1822/36713","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1822/36713","pdf_url":"http://hdl.handle.net/1822/36713","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1822/36713","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100670597","display_name":"Carlos Costa","orcid":"https://orcid.org/0000-0003-0011-6030","observed_orcids":["https://orcid.org/0000-0003-0011-6030"]},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Carlos Costa","raw_affiliation_strings":["University of Aveiro, Aveiro, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-0011-6030","affiliations":[{"raw_affiliation_string":"University of Aveiro, Aveiro, Portugal","institution_ids":["https://openalex.org/I60858718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042295020","display_name":"Maribel Yasmina Santos","orcid":"https://orcid.org/0000-0002-3249-6229","observed_orcids":["https://orcid.org/0000-0002-3249-6229"]},"institutions":[{"id":"https://openalex.org/I99682543","display_name":"University of Minho","ror":"https://ror.org/037wpkx04","country_code":"PT","type":"education","lineage":["https://openalex.org/I99682543"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Maribel Yasmina Santos","raw_affiliation_strings":["University of Minho, Braga, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-3249-6229","affiliations":[{"raw_affiliation_string":"University of Minho, Braga, Portugal","institution_ids":["https://openalex.org/I99682543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3305,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.9287245,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"320","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.30570000410079956,"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":0.30570000410079956,"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/T10603","display_name":"Smart Grid Energy Management","score":0.24950000643730164,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.06360000371932983,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/smart-cities","display_name":"smart cities","score":0.6949999928474426},{"id":"https://openalex.org/keywords/urban-sustainability","display_name":"urban sustainability","score":0.890999972820282},{"id":"https://openalex.org/keywords/load-forecasting","display_name":"load forecasting","score":0.671999990940094},{"id":"https://openalex.org/keywords/electricity-consumption","display_name":"electricity consumption","score":0.7549999952316284},{"id":"https://openalex.org/keywords/gas-consumption","display_name":"gas consumption","score":0.8119999766349792},{"id":"https://openalex.org/keywords/big-data-architecture","display_name":"big data architecture","score":0.796999990940094},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.5920000076293945},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.7990000247955322},{"id":"https://openalex.org/keywords/hadoop","display_name":"Hadoop","score":0.7940000295639038},{"id":"https://openalex.org/keywords/weka","display_name":"WEKA","score":0.9010000228881836},{"id":"https://openalex.org/keywords/tableau","display_name":"Tableau","score":0.9359999895095825}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7752047181129456},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6734951734542847},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.6606377959251404},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6418672800064087},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6075681447982788},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5875601768493652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752391815185547},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.525585949420929},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5185168981552124},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4470517039299011},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.437768816947937},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4241175651550293},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.41529524326324463},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40072670578956604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21481138467788696},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19750580191612244},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1680980920791626},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:repositorium.sdum.uminho.pt:1822/36713","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1822/36713","pdf_url":"http://hdl.handle.net/1822/36713","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},{"id":"pmh:oai:repositorium.uminho.pt:1822/36713","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/1822/36713","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"mag:1580978282","doi":null,"is_oa":false,"landing_page_url":"https://repositorium.sdum.uminho.pt/bitstream/1822/36713/1/WCE2015_pp320-325.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Data Mining","raw_type":null}],"best_oa_location":{"id":"pmh:oai:repositorium.sdum.uminho.pt:1822/36713","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1822/36713","pdf_url":"http://hdl.handle.net/1822/36713","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8787999749183655},{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.878000020980835},{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.821399986743927},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.7207000255584717}],"study_designs":[],"awards":[{"id":"https://openalex.org/G7406260186","display_name":"Centro de Investiga\u00e7\u00e3o ALGORITMI","funder_award_id":"UID/CEC/00319/2013","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G7574042020","display_name":null,"funder_award_id":"00319","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1580978282.pdf","grobid_xml":"https://content.openalex.org/works/W1580978282.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W37241258","https://openalex.org/W1505837402","https://openalex.org/W1537430301","https://openalex.org/W1554943064","https://openalex.org/W1992385487","https://openalex.org/W2017234245","https://openalex.org/W2040514338","https://openalex.org/W2055637560","https://openalex.org/W2074156009","https://openalex.org/W2098515641","https://openalex.org/W2117326363","https://openalex.org/W2134353770","https://openalex.org/W2135846084","https://openalex.org/W2139197713","https://openalex.org/W2155771425","https://openalex.org/W2159128662","https://openalex.org/W2293050121","https://openalex.org/W2536085325","https://openalex.org/W2612166593"],"related_works":["https://openalex.org/W2791838709","https://openalex.org/W62206396","https://openalex.org/W3004492566","https://openalex.org/W3119266151","https://openalex.org/W2897081486","https://openalex.org/W2790486829","https://openalex.org/W3135031229","https://openalex.org/W2888921575","https://openalex.org/W2528536908","https://openalex.org/W7058257010"],"abstract_inverted_index":{"Nowadays,":[0],"cities":[1,77,127],"consume":[2],"more":[3,18],"energy":[4,22,35,116,124,133,188],"to":[5,37,49,89,104,123,151,157,165,179,195],"fuel":[6],"their":[7,96,108,187],"day-to-day":[8],"activities.":[9],"With":[10],"the":[11,119,132],"rise":[12],"of":[13,34,63,71,83,94,131,143,183,204],"electrical":[14],"devices":[15],"we":[16,29],"face":[17],"challenges":[19],"associated":[20],"with":[21,146,200],"control":[23],"and":[24,54,68,78,98,112,126,149,153,160,164,190],"distribution.":[25],"Apart":[26],"from":[27,140],"this,":[28],"also":[30,121,193],"spend":[31],"a":[32,64,91,128,201],"lot":[33],"trying":[36],"either":[38],"heating":[39],"or":[40,110],"cooling":[41],"our":[42,84],"homes.":[43],"This":[44,58,135],"paper":[45],"illustrates":[46],"an":[47],"architecture":[48,60,120],"extract,":[50],"load,":[51],"transform,":[52],"mine":[53],"forecast":[55,196],"Big":[56,155],"Data.":[57],"technological":[59],"makes":[61],"use":[62],"dataset":[65],"containing":[66],"electricity":[67,97,198],"gas":[69,99],"consumption":[70,189],"homes":[72,106,184],"distributed":[73],"within":[74,107],"multiple":[75],"USA":[76],"states.":[79],"The":[80,169],"main":[81],"purpose":[82],"work":[85,136],"consists":[86],"in":[87],"delivering":[88],"citizens":[90],"new":[92],"form":[93],"self-monitoring":[95],"consumption,":[100],"by":[101,113],"comparing":[102],"them":[103],"other":[105],"cluster":[109],"state":[111],"forecasting":[114],"future":[115,197],"consumptions.":[117],"Moreover,":[118],"delivers":[122],"providers":[125],"smarter":[129],"overview":[130],"landscape.":[134],"uses":[137],"simulated":[138],"data":[139],"United":[141],"States":[142],"America":[144],"along":[145],"Hadoop,":[147],"WEKA":[148],"Tableau":[150],"store":[152],"process":[154],"Data,":[156],"produce":[158,180],"clusters":[159,182],"time":[161],"series":[162],"forecasts,":[163],"visualize":[166],"information,":[167],"respectively.":[168],"results":[170],"reveal":[171],"that,":[172],"using":[173],"this":[174],"architecture,":[175],"it":[176,191],"is":[177,192],"possible":[178,194],"accurate":[181],"based":[185],"on":[186],"consumptions":[199],"small":[202],"margin":[203],"error.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
