{"id":"https://openalex.org/W7214627353","doi":"https://doi.org/10.1109/iisa71656.2026.11705477","title":"TimeGPT vs. LSTM-CNN for Photovoltaic Energy Forecasting","display_name":"TimeGPT vs. LSTM-CNN for Photovoltaic Energy Forecasting","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7214627353","doi":"https://doi.org/10.1109/iisa71656.2026.11705477"},"language":"en","primary_location":{"id":"doi:10.1109/iisa71656.2026.11705477","doi":"https://doi.org/10.1109/iisa71656.2026.11705477","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iisa71656.2026.11705477","pdf_url":null,"source":{"id":"https://openalex.org/S7407088257","display_name":"International Conference on Information, Intelligence, Systems & Applications (IISA)","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 17th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/iisa71656.2026.11705477","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5153243230","display_name":"Roxana-Catalina Buzan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roxana-Catalina Buzan","raw_affiliation_strings":["RebelDot"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RebelDot","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019681375","display_name":"Ionut Manuel Anghel","orcid":"https://orcid.org/0000-0001-6166-5266","observed_orcids":["https://orcid.org/0000-0001-6166-5266"]},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Ionut Anghel","raw_affiliation_strings":["Technical University of Cluj-Napoca"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065947536","display_name":"Tudor Cioara","orcid":"https://orcid.org/0000-0003-1177-5795","observed_orcids":["https://orcid.org/0000-0003-1177-5795"]},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Tudor Cioara","raw_affiliation_strings":["Technical University of Cluj-Napoca"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088930770","display_name":"Liana Toderean","orcid":"https://orcid.org/0000-0001-9146-4641","observed_orcids":["https://orcid.org/0000-0001-9146-4641"]},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Liana Toderean","raw_affiliation_strings":["Technical University of Cluj-Napoca"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75495171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.02070000022649765,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.003800000064074993,"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/solar-power-forecasting","display_name":"photovoltaic power forecasting","score":0.8600000143051147},{"id":"https://openalex.org/keywords/timegpt","display_name":"TimeGPT","score":0.9449999928474426},{"id":"https://openalex.org/keywords/cnn-lstm","display_name":"CNN-LSTM","score":0.8220000267028809},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.7390000224113464},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.4690000116825104},{"id":"https://openalex.org/keywords/hybrid-cnn-lstm-model","display_name":"CNN-LSTM hybrid model","score":0.5920000076293945},{"id":"https://openalex.org/keywords/model-comparison","display_name":"model comparison","score":0.5450000166893005}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.46149998903274536},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2802000045776367},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2667999863624573},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa71656.2026.11705477","doi":"https://doi.org/10.1109/iisa71656.2026.11705477","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iisa71656.2026.11705477","pdf_url":null,"source":{"id":"https://openalex.org/S7407088257","display_name":"International Conference on Information, Intelligence, Systems & Applications (IISA)","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 17th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/iisa71656.2026.11705477","doi":"https://doi.org/10.1109/iisa71656.2026.11705477","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iisa71656.2026.11705477","pdf_url":null,"source":{"id":"https://openalex.org/S7407088257","display_name":"International Conference on Information, Intelligence, Systems & Applications (IISA)","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 17th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"},{"score":0.9786999821662903,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2751698537","https://openalex.org/W2790021805","https://openalex.org/W2912623183","https://openalex.org/W2956074973","https://openalex.org/W2977155375","https://openalex.org/W3033739625","https://openalex.org/W4310378748","https://openalex.org/W4384156620","https://openalex.org/W4385484635","https://openalex.org/W4388109045","https://openalex.org/W4399010098","https://openalex.org/W4401511804","https://openalex.org/W4402242178","https://openalex.org/W4403938395","https://openalex.org/W4404213669","https://openalex.org/W4404454190","https://openalex.org/W4404838758","https://openalex.org/W4410230731","https://openalex.org/W4412490013","https://openalex.org/W4413940652","https://openalex.org/W4414070476","https://openalex.org/W4414538306","https://openalex.org/W4416021514","https://openalex.org/W4416829150","https://openalex.org/W7128315291","https://openalex.org/W7128434610"],"related_works":["https://openalex.org/W7125642609","https://openalex.org/W7204469770","https://openalex.org/W7170067902","https://openalex.org/W7164886629","https://openalex.org/W4408062804","https://openalex.org/W7215714376","https://openalex.org/W7159763708","https://openalex.org/W7166682764","https://openalex.org/W7165784561","https://openalex.org/W7204086594"],"abstract_inverted_index":{"The":[0],"large-scale":[1],"deployment":[2],"of":[3,16,37,69,101,108,171],"renewable":[4],"energy":[5,17,24,65],"sources":[6],"at":[7],"the":[8,14,32,63,131],"grid":[9],"edge":[10],"has":[11],"significantly":[12],"increased":[13],"complexity":[15],"management.":[18],"In":[19,58],"this":[20,59],"context,":[21,154],"accurate":[22],"solar":[23],"forecasting":[25,67,160],"is":[26],"essential,":[27],"yet":[28],"challenging":[29],"due":[30,176],"to":[31,54,139,177],"intermittent":[33],"and":[34,79,84,104,123,143],"stochastic":[35],"nature":[36],"photovoltaic":[38],"generation.":[39],"Recently,":[40],"foundation":[41],"time-series":[42],"models":[43,132],"such":[44],"as":[45,49],"TimeGPT":[46,155],"have":[47],"emerged":[48],"a":[50,70,98,105],"promising":[51],"alternative":[52],"paradigm":[53],"deep":[55,72],"learning":[56,73],"approaches.":[57],"paper,":[60],"we":[61],"compare":[62],"PV":[64],"production":[66],"performance":[68,133],"hybrid":[71],"model":[74],"combining":[75],"Long":[76],"Short-Term":[77],"Memory":[78],"Convolutional":[80],"Neural":[81],"Network":[82],"(LSTM-CNN)":[83],"TimeGPT.":[85],"We":[86],"define":[87],"an":[88],"evaluation":[89],"methodology":[90],"based":[91],"on":[92],"two":[93],"different":[94],"input":[95],"history":[96,100,107],"lengths:":[97],"long-term":[99],"one":[102,109],"year":[103],"short-term":[106,159],"month.":[110],"For":[111],"each":[112],"model,":[113],"forecasts":[114],"are":[115],"generated":[116],"for":[117,129,168],"three":[118],"prediction":[119],"horizons:":[120],"24,":[121],"72":[122],"120":[124,174],"hours":[125],"ahead.":[126],"This":[127],"allows":[128],"analyzing":[130],"under":[134],"varying":[135],"temporal":[136],"contexts,":[137],"allowing":[138],"determine":[140],"both":[141],"short":[142],"long":[144],"terms":[145],"dependencies.":[146],"Results":[147],"show":[148],"that":[149],"even":[150],"with":[151],"extended":[152],"historical":[153],"performs":[156],"better":[157],"in":[158],"(24":[161],"hours),":[162],"while":[163],"LSTM-CNN":[164],"achieves":[165],"higher":[166],"accuracy":[167],"medium":[169],"horizons":[170],"(72":[172],"/":[173],"hours)":[175],"explicit":[178],"sequential":[179],"modeling.":[180]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-09-29T00:00:00"}
