{"id":"https://openalex.org/W4312319109","doi":"https://doi.org/10.1109/iisa56318.2022.9904363","title":"In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance","display_name":"In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312319109","doi":"https://doi.org/10.1109/iisa56318.2022.9904363"},"language":"en","primary_location":{"id":"doi:10.1109/iisa56318.2022.9904363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa56318.2022.9904363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.13046","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036925558","display_name":"Sotiris Pelekis","orcid":"https://orcid.org/0000-0002-9259-9115"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sotiris Pelekis","raw_affiliation_strings":["National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece 0000-0002-9259-9115"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece 0000-0002-9259-9115","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023924916","display_name":"Evangelos Karakolis","orcid":"https://orcid.org/0000-0003-2833-3088"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Evangelos Karakolis","raw_affiliation_strings":["National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece 0000-0003-2833-3088"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece 0000-0003-2833-3088","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386990","display_name":"F.J.G. Silva","orcid":"https://orcid.org/0000-0001-8570-4362"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francisco Silva","raw_affiliation_strings":["R&D NESTER,Lisbon,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R&D NESTER,Lisbon,Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015937003","display_name":"Vasileios Schoinas","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasileios Schoinas","raw_affiliation_strings":["National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","Decision Support Systems Laboratory National Technical University of Athens, Greece 0000-0001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Decision Support Systems Laboratory National Technical University of Athens, Greece 0000-0001","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047316196","display_name":"Spiros Mouzakitis","orcid":"https://orcid.org/0000-0001-9616-447X"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Spiros Mouzakitis","raw_affiliation_strings":["National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece 0000-0001-9616-447X"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece 0000-0001-9616-447X","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040362980","display_name":"Georgios Kormpakis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Kormpakis","raw_affiliation_strings":["National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece 0000-0003-4052-4549"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece 0000-0003-4052-4549","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055492049","display_name":"Nuno Amaro","orcid":"https://orcid.org/0000-0001-5781-7482"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nuno Amaro","raw_affiliation_strings":["R&D NESTER,Lisbon,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R&D NESTER,Lisbon,Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113725247","display_name":"John Psarras","orcid":"https://orcid.org/0000-0002-3104-9144"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"John Psarras","raw_affiliation_strings":["National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,ICCS,Decision Support Systems Laboratory,Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Decision Support Systems Laboratory National Technical University of Athens, ICCS, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.6816142201423645},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5965942740440369},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.534515917301178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5192216038703918},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5130265951156616},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.45772773027420044},{"id":"https://openalex.org/keywords/energy-market","display_name":"Energy market","score":0.4357711672782898},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.42547258734703064},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.42304667830467224},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.4162677526473999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40394431352615356},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3499888777732849},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.27738237380981445},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.2372969090938568},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21865993738174438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816142201423645},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5965942740440369},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.534515917301178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192216038703918},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5130265951156616},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.45772773027420044},{"id":"https://openalex.org/C2776849302","wikidata":"https://www.wikidata.org/wiki/Q1239166","display_name":"Energy market","level":3,"score":0.4357711672782898},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.42547258734703064},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.42304667830467224},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4162677526473999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40394431352615356},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3499888777732849},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.27738237380981445},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.2372969090938568},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21865993738174438},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iisa56318.2022.9904363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa56318.2022.9904363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2302.13046","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.13046","pdf_url":"https://arxiv.org/pdf/2302.13046","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.13046","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.13046","pdf_url":"https://arxiv.org/pdf/2302.13046","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2933453390","display_name":"Artificial Intelligence  for Next Generation Energy","funder_award_id":"101016508","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4312319109.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1590376482","https://openalex.org/W1711412747","https://openalex.org/W1889207610","https://openalex.org/W1925912378","https://openalex.org/W2016210396","https://openalex.org/W2048764852","https://openalex.org/W2064675550","https://openalex.org/W2067847508","https://openalex.org/W2068438324","https://openalex.org/W2070870865","https://openalex.org/W2075846637","https://openalex.org/W2076163358","https://openalex.org/W2083931742","https://openalex.org/W2090526773","https://openalex.org/W2097781780","https://openalex.org/W2098207764","https://openalex.org/W2106030832","https://openalex.org/W2116174583","https://openalex.org/W2120312091","https://openalex.org/W2122889869","https://openalex.org/W2136141373","https://openalex.org/W2139073438","https://openalex.org/W2152827969","https://openalex.org/W2156026941","https://openalex.org/W2174096604","https://openalex.org/W2202089267","https://openalex.org/W2337474653","https://openalex.org/W2534287718","https://openalex.org/W2569241116","https://openalex.org/W2586259521","https://openalex.org/W2764791077","https://openalex.org/W2792764867","https://openalex.org/W2803000678","https://openalex.org/W2805432201","https://openalex.org/W2895418405","https://openalex.org/W2924971168","https://openalex.org/W2954123905","https://openalex.org/W2979858166","https://openalex.org/W2996552856","https://openalex.org/W3006604550","https://openalex.org/W3008314711","https://openalex.org/W3008533347","https://openalex.org/W3013829230","https://openalex.org/W3043685378","https://openalex.org/W3047629099","https://openalex.org/W3111058250","https://openalex.org/W3112644111","https://openalex.org/W3129762955","https://openalex.org/W3131110071","https://openalex.org/W3131117441","https://openalex.org/W3135893734","https://openalex.org/W3139255054","https://openalex.org/W3157460577","https://openalex.org/W3159352807","https://openalex.org/W3169048777","https://openalex.org/W3177880870","https://openalex.org/W3200262186","https://openalex.org/W4205535139","https://openalex.org/W4235017466","https://openalex.org/W6749825310","https://openalex.org/W6763309814","https://openalex.org/W6775218578","https://openalex.org/W6794332949"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W2352448290","https://openalex.org/W4256492088"],"abstract_inverted_index":{"In":[0],"power":[1,47],"grids,":[2],"short-term":[3],"load":[4,79,153],"forecasting":[5,113,171],"(STLF)":[6],"is":[7,34,135],"crucial":[8],"as":[9,66,137,192],"it":[10,22],"contributes":[11],"to":[12,39,112,168,178],"the":[13,24,30,40,67,73,125,147,182],"optimization":[14],"of":[15,26,43,51,78,87,181,185],"their":[16,55,120,170],"reliability,":[17],"emissions,":[18],"and":[19,45,54,105,115,164,198],"costs,":[20],"while":[21],"enables":[23],"participation":[25],"energy":[27,31,162],"companies":[28,163],"in":[29],"market.":[32],"STLF":[33],"a":[35,84,193,202],"challenging":[36],"task,":[37],"due":[38],"complex":[41],"demand":[42],"active":[44],"reactive":[46],"from":[48],"multiple":[49],"types":[50],"electrical":[52],"loads":[53],"dependence":[56],"on":[57,143,188],"numerous":[58],"exogenous":[59],"variables.":[60],"Amongst":[61],"them,":[62],"special":[63],"circumstances,":[64],"such":[65],"COVID-19":[68,126],"pandemic,":[69],"can":[70,158],"often":[71],"be":[72,159],"reason":[74],"behind":[75],"distribution":[76],"shifts":[77],"series.":[80,155],"This":[81],"work":[82],"conducts":[83],"comparative":[85],"study":[86,141],"Deep":[88],"Learning":[89],"(DL)":[90],"architectures,":[91],"namely":[92],"Neural":[93],"Basis":[94],"Expansion":[95],"Analysis":[96],"Time":[97],"Series":[98],"Forecasting":[99,132],"(N-BEATS),":[100],"Long":[101],"Short-Term":[102],"Memory":[103],"(LSTM),":[104],"Temporal":[106],"Convolutional":[107],"Networks":[108],"(TCN),":[109],"with":[110,173],"respect":[111],"accuracy":[114],"training":[116],"sustainability,":[117],"meanwhile":[118],"examining":[119],"out-of-distribution":[121],"generalization":[122],"capabilities":[123],"during":[124],"pandemic":[127],"era.":[128],"A":[129],"Pattern":[130],"Sequence":[131],"(PSF)":[133],"model":[134,189,195],"used":[136],"baseline.":[138],"The":[139,156],"case":[140],"focuses":[142],"day-ahead":[144],"forecasts":[145],"for":[146],"Portuguese":[148],"national":[149],"15-minute":[150],"resolution":[151],"net":[152],"time":[154],"results":[157],"leveraged":[160],"by":[161],"network":[165],"operators":[166],"(i)":[167],"reinforce":[169],"toolkit":[172],"state-of-the-art":[174],"DL":[175],"models;":[176],"(ii)":[177],"become":[179],"aware":[180],"serious":[183],"consequences":[184],"crisis":[186],"events":[187],"performance;":[190],"(iii)":[191],"high-level":[194],"evaluation,":[196],"deployment,":[197],"sustainability":[199],"guide":[200],"within":[201],"smart":[203],"grid":[204],"context.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2023-01-04T00:00:00"}