{"id":"https://openalex.org/W4405522365","doi":"https://doi.org/10.1109/ice/itmc61926.2024.10794398","title":"Combining Time-Series Forecasting and Genetic Algorithm Based Optimization to Explore Energy Flexibility at Building-Level","display_name":"Combining Time-Series Forecasting and Genetic Algorithm Based Optimization to Explore Energy Flexibility at Building-Level","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4405522365","doi":"https://doi.org/10.1109/ice/itmc61926.2024.10794398"},"language":"en","primary_location":{"id":"doi:10.1109/ice/itmc61926.2024.10794398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ice/itmc61926.2024.10794398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)","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/A5089485369","display_name":"Jo\u00e3o Taban\u00eaz Patr\u00edcio","orcid":"https://orcid.org/0000-0003-2176-7270"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Jo\u00e3o Taban\u00eaz Patr\u00edcio","raw_affiliation_strings":["School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal"],"raw_orcid":"https://orcid.org/0000-0003-2176-7270","affiliations":[{"raw_affiliation_string":"School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113024497","display_name":"Francisco Silva","orcid":"https://orcid.org/0000-0003-0904-6243"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Francisco Silva","raw_affiliation_strings":["School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal"],"raw_orcid":"https://orcid.org/0000-0003-0904-6243","affiliations":[{"raw_affiliation_string":"School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059599746","display_name":"Rui Amaral Lopes","orcid":null},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui Amaral Lopes","raw_affiliation_strings":["School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal"],"raw_orcid":"https://orcid.org/0000-0002-6953-1403","affiliations":[{"raw_affiliation_string":"School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055492049","display_name":"Nuno Amaro","orcid":"https://orcid.org/0000-0001-5781-7482"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Nuno Amaro","raw_affiliation_strings":["School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal"],"raw_orcid":"https://orcid.org/0000-0001-5781-7482","affiliations":[{"raw_affiliation_string":"School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089734589","display_name":"Jo\u00e3o Martins","orcid":"https://orcid.org/0000-0002-2248-2595"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Martins","raw_affiliation_strings":["School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal"],"raw_orcid":"https://orcid.org/0000-0002-2248-2595","affiliations":[{"raw_affiliation_string":"School of Science and Technology, UNINOVA-CTS and LASI, NOVA University Lisboa,Caparica,Portugal","institution_ids":["https://openalex.org/I83558840"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089485369"],"corresponding_institution_ids":["https://openalex.org/I83558840"],"apc_list":null,"apc_paid":null,"fwci":0.2537,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58837927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9607999920845032,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9607999920845032,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6941968202590942},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6823604106903076},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6797515153884888},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5535580515861511},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5470638275146484},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.45867711305618286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.417211651802063},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39234593510627747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21585717797279358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12391287088394165},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0803590714931488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941968202590942},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6823604106903076},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6797515153884888},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5535580515861511},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5470638275146484},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.45867711305618286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.417211651802063},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39234593510627747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21585717797279358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12391287088394165},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0803590714931488},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ice/itmc61926.2024.10794398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ice/itmc61926.2024.10794398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5899999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2694335","https://openalex.org/W1969192618","https://openalex.org/W2042569829","https://openalex.org/W2125599835","https://openalex.org/W2285190057","https://openalex.org/W2794034951","https://openalex.org/W2794960695","https://openalex.org/W2897578996","https://openalex.org/W3042284302","https://openalex.org/W3114571338","https://openalex.org/W3200680133","https://openalex.org/W4240321558","https://openalex.org/W4316468338","https://openalex.org/W4324149174"],"related_works":["https://openalex.org/W4236696095","https://openalex.org/W3143779693","https://openalex.org/W2626808643","https://openalex.org/W2004064826","https://openalex.org/W3103727510","https://openalex.org/W97045569","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"This":[0,89],"article":[1],"proposes":[2],"a":[3,7,60,77],"solution":[4],"based":[5],"on":[6],"genetic":[8],"algorithm":[9,41,63],"to":[10,28,35,43,92,107],"exploit":[11],"the":[12,25,40,45,62,83,86,93,105],"energy":[13,21,31,98,109],"flexibility":[14],"of":[15,85,97],"certain":[16],"loads,":[17],"which":[18],"also":[19],"considers":[20],"consumption":[22,54],"forecasts.":[23],"Considering":[24],"growing":[26],"need":[27],"integrate":[29],"renewable":[30,108],"sources":[32],"in":[33,59,80],"order":[34],"reduce":[36],"greenhouse":[37],"gases":[38],"emissions,":[39],"seeks":[42],"find":[44],"optimal":[46,65],"operating":[47,66],"schedule":[48],"for":[49,55],"flexible":[50],"loads.":[51],"By":[52],"predicting":[53],"each":[56],"load":[57],"present":[58],"home,":[61],"suggests":[64],"schedules,":[67],"minimizing":[68],"costs":[69],"without":[70],"compromising":[71],"user":[72],"comfort.":[73],"The":[74],"results":[75],"show":[76],"significant":[78],"reduction":[79],"costs,":[81],"indicating":[82],"effectiveness":[84],"proposed":[87],"algorithm.":[88],"study":[90],"contributes":[91],"understanding":[94],"and":[95],"application":[96],"optimization":[99],"techniques":[100],"at":[101],"building":[102],"level,":[103],"promoting":[104],"transition":[106],"communities.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}