{"id":"https://openalex.org/W7140317439","doi":"https://doi.org/10.48550/arxiv.2603.22343","title":"Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting","display_name":"Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting","publication_year":2026,"publication_date":"2026-03-21","ids":{"openalex":"https://openalex.org/W7140317439","doi":"https://doi.org/10.48550/arxiv.2603.22343"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.22343","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.22343","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.22343","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110205627","display_name":"Nan Qiao","orcid":"https://orcid.org/0009-0003-2495-8109"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiao, Nan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Shuning","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shuning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Duan, Sijing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duan, Sijing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Cui, Wenpeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Wenpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Yuzhe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yuzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yang, Qingchen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Qingchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hua, Xingyuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua, Xingyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Ren, Ju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Ju","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9279999732971191,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9279999732971191,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.020400000736117363,"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":0.006399999838322401,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.671999990940094},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.5429999828338623},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5235999822616577},{"id":"https://openalex.org/keywords/router","display_name":"Router","score":0.5105000138282776},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4717000126838684},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4611000120639801},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.39590001106262207},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.3718000054359436}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.671999990940094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662999987602234},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.5429999828338623},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5235999822616577},{"id":"https://openalex.org/C2775896111","wikidata":"https://www.wikidata.org/wiki/Q642560","display_name":"Router","level":2,"score":0.5105000138282776},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4717000126838684},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4611000120639801},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3603000044822693},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35429999232292175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34130001068115234},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3386000096797943},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2985000014305115},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2944999933242798},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.2865000069141388},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2689000070095062},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.25589999556541443},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.22343","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.22343","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.22343","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.22343","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Photovoltaic":[0],"(PV)":[1],"power":[2],"forecasting":[3,9,56,178],"in":[4,57,175],"edge-enabled":[5],"grids":[6],"requires":[7],"balancing":[8],"accuracy,":[10,179],"robustness":[11],"under":[12,24,146],"weather-driven":[13],"distribution":[14],"shifts,":[15],"and":[16,34,54,97,125,183],"strict":[17],"latency":[18],"constraints.":[19,149],"Existing":[20],"models":[21,43,145],"work":[22],"well":[23],"normal":[25],"conditions":[26],"but":[27],"often":[28,44],"struggle":[29],"with":[30],"rare":[31],"ramp":[32],"events":[33],"unexpected":[35],"weather":[36,123],"changes.":[37],"Relying":[38],"solely":[39],"on":[40,164],"cloud-based":[41,99],"large":[42,100],"leads":[45],"to":[46,135,139,142],"significant":[47],"communication":[48],"delays,":[49],"which":[50],"can":[51],"hinder":[52],"timely":[53],"efficient":[55],"practical":[58],"grid":[59],"environments.":[60],"To":[61],"address":[62],"these":[63],"issues,":[64],"we":[65,129],"propose":[66],"a":[67,82,89,98,115,131],"condition-adaptive":[68],"cloud-edge":[69],"collaborative":[70],"framework":[71],"*CAPE*":[72,76,171],"for":[73,86,93],"PV":[74,167],"forecasting.":[75],"consists":[77],"of":[78,158,177],"three":[79],"main":[80],"modules:":[81],"site-specific":[83],"expert":[84],"model":[85,92,102,126,161],"routine":[87],"predictions,":[88],"lightweight":[90],"edge-side":[91],"enhanced":[94],"local":[95],"inference,":[96],"retrieval":[101],"that":[103,118,170],"provides":[104],"relevant":[105],"historical":[106],"cases":[107],"when":[108,138],"needed.":[109],"These":[110],"modules":[111],"are":[112],"coordinated":[113],"by":[114],"screening":[116],"module":[117],"evaluates":[119],"uncertainty,":[120],"out-of-distribution":[121],"risk,":[122],"mutations,":[124],"disagreement.":[127],"Furthermore,":[128],"employ":[130],"Lyapunov-guided":[132],"routing":[133,181],"strategy":[134],"dynamically":[136],"determine":[137],"escalate":[140],"inference":[141],"more":[143],"powerful":[144],"long-term":[147],"system":[148,184],"The":[150],"final":[151],"forecast":[152],"is":[153],"produced":[154],"through":[155],"adaptive":[156],"fusion":[157],"the":[159],"selected":[160],"outputs.":[162],"Experiments":[163],"two":[165],"real-world":[166],"datasets":[168],"demonstrate":[169],"achieves":[172],"superior":[173],"performance":[174],"terms":[176],"robustness,":[180],"quality,":[182],"efficiency.":[185]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-26T00:00:00"}
