{"id":"https://openalex.org/W7150232173","doi":"https://doi.org/10.48084/etasr.16956","title":"VG-BiLSTM: Modeling Feature Variability for Robust PV Power Prediction","display_name":"VG-BiLSTM: Modeling Feature Variability for Robust PV Power Prediction","publication_year":2026,"publication_date":"2026-04-04","ids":{"openalex":"https://openalex.org/W7150232173","doi":"https://doi.org/10.48084/etasr.16956"},"language":"en","primary_location":{"id":"doi:10.48084/etasr.16956","doi":"https://doi.org/10.48084/etasr.16956","is_oa":true,"landing_page_url":"https://doi.org/10.48084/etasr.16956","pdf_url":"https://etasr.com/index.php/ETASR/article/download/16956/6399","source":{"id":"https://openalex.org/S2737646863","display_name":"Engineering Technology & Applied Science Research","issn_l":"1792-8036","issn":["1792-8036","2241-4487"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318068","host_organization_name":"Engineering, Technology & Applied Science Research","host_organization_lineage":["https://openalex.org/P4310318068"],"host_organization_lineage_names":["Engineering, Technology & Applied Science Research"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering, Technology & Applied Science Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://etasr.com/index.php/ETASR/article/download/16956/6399","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129028665","display_name":"Are Sambasiva Rao","orcid":"https://orcid.org/0000-0002-1711-2987","observed_orcids":["https://orcid.org/0000-0002-1711-2987"]},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Are Sambasiva Rao","raw_affiliation_strings":["Department of CSE, GITAM School of Technology, GITAM Deemed to be University, Hyderabad Campus, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, GITAM School of Technology, GITAM Deemed to be University, Hyderabad Campus, Telangana, India","institution_ids":["https://openalex.org/I885392262"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014194957","display_name":"Kunada Dhana Sree Devi","orcid":"https://orcid.org/0000-0001-8288-2905","observed_orcids":["https://orcid.org/0000-0001-8288-2905"]},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K. Dhana Sree Devi","raw_affiliation_strings":["Department of CSE, GITAM School of Technology, GITAM Deemed to be University, Hyderabad Campus, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, GITAM School of Technology, GITAM Deemed to be University, Hyderabad Campus, Telangana, India","institution_ids":["https://openalex.org/I885392262"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014194957"],"corresponding_institution_ids":["https://openalex.org/I885392262"],"apc_list":{"value":400,"currency":"EUR","value_usd":431},"apc_paid":{"value":400,"currency":"EUR","value_usd":431},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"2","first_page":"33405","last_page":"33410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9994999766349792,"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":0.9994999766349792,"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":0.0003000000142492354,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/solar-power-forecasting","display_name":"photovoltaic power forecasting","score":0.8849999904632568},{"id":"https://openalex.org/keywords/ramp-rate","display_name":"ramp rate","score":0.9200000166893005},{"id":"https://openalex.org/keywords/coefficient-of-variation","display_name":"coefficient of variation","score":0.9950000047683716},{"id":"https://openalex.org/keywords/grid-integration-of-solar-power","display_name":"grid integration of solar power","score":0.6850000023841858}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7914999723434448},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5999000072479248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5827000141143799},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.3481999933719635},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32420000433921814},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.31940001249313354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.305400013923645},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2822999954223633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.27079999446868896},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25699999928474426},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C31874578","wikidata":"https://www.wikidata.org/wiki/Q49385","display_name":"Solar variation","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48084/etasr.16956","doi":"https://doi.org/10.48084/etasr.16956","is_oa":true,"landing_page_url":"https://doi.org/10.48084/etasr.16956","pdf_url":"https://etasr.com/index.php/ETASR/article/download/16956/6399","source":{"id":"https://openalex.org/S2737646863","display_name":"Engineering Technology & Applied Science Research","issn_l":"1792-8036","issn":["1792-8036","2241-4487"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318068","host_organization_name":"Engineering, Technology & Applied Science Research","host_organization_lineage":["https://openalex.org/P4310318068"],"host_organization_lineage_names":["Engineering, Technology & Applied Science Research"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering, Technology & Applied Science Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.48084/etasr.16956","doi":"https://doi.org/10.48084/etasr.16956","is_oa":true,"landing_page_url":"https://doi.org/10.48084/etasr.16956","pdf_url":"https://etasr.com/index.php/ETASR/article/download/16956/6399","source":{"id":"https://openalex.org/S2737646863","display_name":"Engineering Technology & Applied Science Research","issn_l":"1792-8036","issn":["1792-8036","2241-4487"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318068","host_organization_name":"Engineering, Technology & Applied Science Research","host_organization_lineage":["https://openalex.org/P4310318068"],"host_organization_lineage_names":["Engineering, Technology & Applied Science Research"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering, Technology & Applied Science Research","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":1.0},{"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":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7150232173.pdf","grobid_xml":"https://content.openalex.org/works/W7150232173.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1994777337","https://openalex.org/W2117014758","https://openalex.org/W3007658961","https://openalex.org/W3095660014","https://openalex.org/W3124419131","https://openalex.org/W4200307627","https://openalex.org/W4210359686","https://openalex.org/W4282599851","https://openalex.org/W4311907906","https://openalex.org/W4387331152","https://openalex.org/W4400321112","https://openalex.org/W4400411251","https://openalex.org/W4401511804","https://openalex.org/W4403558807","https://openalex.org/W4408789980","https://openalex.org/W4410761463","https://openalex.org/W4412880225"],"related_works":["https://openalex.org/W7119489757","https://openalex.org/W4412987423","https://openalex.org/W7131365135","https://openalex.org/W4417250043","https://openalex.org/W4393377226","https://openalex.org/W4413242335","https://openalex.org/W4408318315","https://openalex.org/W7125918882","https://openalex.org/W4409844471","https://openalex.org/W4409097891"],"abstract_inverted_index":{"Photovoltaic":[0],"(PV)":[1],"power":[2,61,108],"generation":[3],"oscillates":[4],"across":[5,195],"multiple":[6],"timescales":[7],"due":[8],"to":[9,55,77,104,135,202],"changing":[10],"weather":[11],"and":[12,24,30,81,100,122,129,144,173,181,199,205],"environmental":[13],"conditions.":[14],"These":[15],"fluctuations":[16,69],"have":[17],"a":[18,131,148,157],"huge":[19],"impact":[20],"on":[21],"the":[22,28,37,46,57,86,116,191],"stability":[23],"operational":[25],"costs":[26],"of":[27,48,59,124],"grid":[29,41],"reduce":[31],"its":[32],"effective":[33],"use.":[34],"Motivated":[35],"by":[36],"need":[38],"for":[39,126,160],"reliable":[40],"integration,":[42],"this":[43],"study":[44,84],"emphasizes":[45],"importance":[47],"explicitly":[49,96],"modeling":[50],"variability":[51,101,132,145],"in":[52,70,183],"PV":[53,107],"features":[54,99],"improve":[56],"robustness":[58],"solar":[60],"prediction":[62],"models.":[63,210],"Conventional":[64],"approaches":[65],"often":[66],"neglect":[67],"short-term":[68,106],"key":[71],"meteorological":[72],"features,":[73],"which":[74,95,152],"can":[75],"lead":[76],"degraded":[78],"model":[79,188],"performance":[80],"accuracy.":[82],"This":[83],"presents":[85],"Variability":[87],"Gated":[88],"Bidirectional":[89,158],"Long":[90],"Short-Term":[91],"Memory":[92],"(VG-BiLSTM)":[93],"framework,":[94],"models":[97],"both":[98],"using":[102],"descriptors":[103],"predict":[105],"output.":[109],"The":[110,187],"proposed":[111],"method":[112],"computes":[113],"feature":[114],"descriptors,":[115],"rolling":[117],"standard":[118],"deviation,":[119],"ramp":[120],"rate,":[121],"coefficient":[123],"variation":[125],"each":[127],"feature,":[128],"employs":[130],"attention":[133],"module":[134],"dynamically":[136],"weight":[137],"them.":[138],"A":[139],"gating":[140],"network":[141],"combines":[142],"raw":[143],"representations":[146],"into":[147,156],"single":[149],"latent":[150],"embedding,":[151],"is":[153],"then":[154],"input":[155],"LSTM":[159],"temporal":[161],"modeling.":[162],"Experimental":[163],"results":[164],"show":[165],"that":[166],"VG-BiLSTM":[167],"outperforms":[168],"baseline":[169],"RNN,":[170],"GRU,":[171],"LSTM,":[172],"their":[174],"bidirectional":[175],"versions,":[176],"achieving":[177],"much":[178],"lower":[179],"RMSE":[180,198],"nRMSE":[182],"different":[184],"sky":[185],"types.":[186],"also":[189],"achieved":[190],"best":[192],"error":[193],"levels":[194],"regions,":[196],"with":[197],"NRMSE":[200],"reduced":[201],"21.6":[203],"W":[204],"20.4%,":[206],"respectively,":[207],"outperforming":[208],"other":[209]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-04-06T00:00:00"}