{"id":"https://openalex.org/W7204145873","doi":"https://doi.org/10.1109/iccsc71566.2026.11650589","title":"Enhancing Solar Power Forecasting Accuracy Through Machine Learning Architectures","display_name":"Enhancing Solar Power Forecasting Accuracy Through Machine Learning Architectures","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7204145873","doi":"https://doi.org/10.1109/iccsc71566.2026.11650589"},"language":"en","primary_location":{"id":"doi:10.1109/iccsc71566.2026.11650589","doi":"https://doi.org/10.1109/iccsc71566.2026.11650589","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iccsc71566.2026.11650589","pdf_url":null,"source":{"id":"https://openalex.org/S7407087460","display_name":"International Conference on Circuit, Systems and Communication (ICCSC)","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 International Conference on Circuit, Systems and Communication (ICCSC)","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/iccsc71566.2026.11650589","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099094165","display_name":"Sara Fennane","orcid":"https://orcid.org/0000-0003-0953-9056","observed_orcids":["https://orcid.org/0000-0003-0953-9056"]},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Sara Fennane","raw_affiliation_strings":["Ibn Tofail University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ibn Tofail University","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099094164","display_name":"Houda Kacimi","orcid":"https://orcid.org/0000-0003-3771-996X","observed_orcids":["https://orcid.org/0000-0003-3771-996X"]},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Houda Kacimi","raw_affiliation_strings":["Ibn Tofail University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ibn Tofail University","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093217765","display_name":"Hamza Mabchour","orcid":"https://orcid.org/0009-0006-5776-7570","observed_orcids":["https://orcid.org/0009-0006-5776-7570"]},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Hamza Mabchour","raw_affiliation_strings":["Ibn Tofail University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ibn Tofail University","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093708316","display_name":"Fatehi ALtalqi","orcid":"https://orcid.org/0009-0002-8322-161X","observed_orcids":["https://orcid.org/0009-0002-8322-161X"]},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Fatehi Altalqi","raw_affiliation_strings":["Ibn Tofail University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ibn Tofail University","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087398803","display_name":"Adil Echchelh","orcid":"https://orcid.org/0000-0002-5302-4255","observed_orcids":["https://orcid.org/0000-0002-5302-4255"]},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Adil Echchelh","raw_affiliation_strings":["Ibn Tofail University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ibn Tofail University","institution_ids":["https://openalex.org/I3121676899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3121676899"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"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":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":1.0,"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":1.0,"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":9.999999747378752e-05,"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":0.0,"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":0.9240000247955322},{"id":"https://openalex.org/keywords/photovoltaic-power-output","display_name":"photovoltaic power output","score":0.968999981880188},{"id":"https://openalex.org/keywords/machine-learning-forecasting-models","display_name":"machine learning forecasting models","score":0.5659999847412109},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.8859999775886536},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9399999976158142},{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":0.9380000233650208},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.9300000071525574},{"id":"https://openalex.org/keywords/prediction-horizon","display_name":"prediction horizon","score":0.902999997138977},{"id":"https://openalex.org/keywords/day-ahead-forecasting","display_name":"day-ahead forecasting","score":0.7379999756813049},{"id":"https://openalex.org/keywords/solar-irradiance","display_name":"solar irradiance","score":0.6589999794960022},{"id":"https://openalex.org/keywords/dakhla","display_name":"Dakhla","score":0.8220000267028809}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5138999819755554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4984000027179718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47519999742507935},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31619998812675476},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsc71566.2026.11650589","doi":"https://doi.org/10.1109/iccsc71566.2026.11650589","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iccsc71566.2026.11650589","pdf_url":null,"source":{"id":"https://openalex.org/S7407087460","display_name":"International Conference on Circuit, Systems and Communication (ICCSC)","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 International Conference on Circuit, Systems and Communication (ICCSC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/iccsc71566.2026.11650589","doi":"https://doi.org/10.1109/iccsc71566.2026.11650589","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iccsc71566.2026.11650589","pdf_url":null,"source":{"id":"https://openalex.org/S7407087460","display_name":"International Conference on Circuit, Systems and Communication (ICCSC)","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 International Conference on Circuit, Systems and Communication (ICCSC)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9853000044822693},{"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1977544721","https://openalex.org/W2070826863","https://openalex.org/W2173259274","https://openalex.org/W2338842023","https://openalex.org/W2885091728","https://openalex.org/W2897279290","https://openalex.org/W2935877504","https://openalex.org/W4210682415","https://openalex.org/W4289926728","https://openalex.org/W4381661608","https://openalex.org/W4401511804","https://openalex.org/W4406015217","https://openalex.org/W4407837505","https://openalex.org/W4409708758","https://openalex.org/W4414037370"],"related_works":["https://openalex.org/W7223371781","https://openalex.org/W7202303152","https://openalex.org/W7222969461","https://openalex.org/W7165532741","https://openalex.org/W7166666039","https://openalex.org/W7167578972","https://openalex.org/W7167737012","https://openalex.org/W3000123818","https://openalex.org/W7167700478","https://openalex.org/W7166735152"],"abstract_inverted_index":{"Accurate":[0],"photovoltaic":[1],"(PV)":[2],"power":[3,10,43,99,245],"forecasting":[4,106,135,152,169,246],"is":[5,97],"essential":[6],"for":[7,35,69,136,167,237],"ensuring":[8],"stable":[9,219],"system":[11],"operation":[12],"and":[13,59,90,124,145,161,181,216,241],"efficient":[14],"energy":[15,24,62],"management":[16],"due":[17],"to":[18,133,197],"the":[19,70,94,157,164,184,205,231,239],"intermittent":[20],"nature":[21],"of":[22,210,233,243],"solar":[23,61,83,86,244],"generation.":[25],"The":[26,64,79,101,129,148,199,228],"research":[27],"investigates":[28],"which":[29,47,74,108,141],"machine":[30,111],"learning":[31,112],"models":[32,130,200],"perform":[33,134],"best":[34,165],"multiple":[36],"future":[37],"time":[38,139],"periods":[39],"when":[40],"predicting":[41],"PV":[42,98],"output":[44],"in":[45,49],"Dakhla":[46],"exists":[48],"a":[50,104],"coastal":[51],"Moroccan":[52],"region":[53],"that":[54,151],"possesses":[55],"semi-arid":[56],"weather":[57],"patterns":[58],"substantial":[60],"resources.":[63],"dataset":[65],"contains":[66],"hourly":[67],"data":[68],"entire":[71],"year":[72],"2022":[73],"produces":[75],"8760":[76],"total":[77],"observations.":[78],"input":[80],"variables":[81],"include":[82],"irradiance":[84],"components,":[85],"height,":[87],"ambient":[88],"temperature":[89],"wind":[91],"speed,":[92],"while":[93,179,222],"target":[95],"variable":[96],"output.":[100],"researchers":[102],"developed":[103],"comparative":[105],"framework":[107],"utilized":[109],"four":[110],"models:":[113],"Extreme":[114],"Gradient":[115],"Boosting":[116],"(XGBoost),":[117],"Multilayer":[118],"Perceptron":[119],"(MLP),":[120],"Decision":[121],"Tree":[122],"(DT),":[123],"Support":[125],"Vector":[126],"Regression":[127],"(SVR).":[128],"were":[131],"tested":[132],"three":[137],"different":[138],"intervals":[140],"included":[142],"1-hour,":[143],"1-day,":[144],"1-month":[146],"periods.":[147],"results":[149],"indicate":[150],"accuracy":[153,203,242],"strongly":[154],"depends":[155],"on":[156],"prediction":[158,212],"horizon.":[159],"MLP":[160,223],"SVR":[162,180,215],"achieved":[163],"performance":[166],"1-hour":[168],"with":[170,189],"RMSE":[171,190],"values":[172,191],"around":[173],"20":[174],"W/m2and":[175,194],"R2values":[176,195],"above":[177],"0.96,":[178],"XGBoost":[182],"provided":[183],"most":[185],"reliable":[186],"day-ahead":[187],"predictions":[188],"below":[192],"23":[193],"close":[196],"0.97.":[198],"exhibited":[201],"lower":[202],"during":[204],"monthly":[206],"forecast":[207],"period":[208],"because":[209],"increased":[211],"uncertainty":[213],"yet":[214],"DT":[217],"maintained":[218],"trend":[220],"estimation":[221],"better":[224],"preserved":[225],"long-term":[226],"variability.":[227],"study":[229],"demonstrates":[230],"importance":[232],"horizon-aware":[234],"model":[235],"selection":[236],"improving":[238],"reliability":[240],"systems.":[247]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-25T00:00:00"}