{"id":"https://openalex.org/W4316466886","doi":"https://doi.org/10.3390/s23020945","title":"Solar Power Prediction Using Dual Stream CNN-LSTM Architecture","display_name":"Solar Power Prediction Using Dual Stream CNN-LSTM Architecture","publication_year":2023,"publication_date":"2023-01-13","ids":{"openalex":"https://openalex.org/W4316466886","doi":"https://doi.org/10.3390/s23020945","pmid":"https://pubmed.ncbi.nlm.nih.gov/36679739"},"language":"en","primary_location":{"id":"doi:10.3390/s23020945","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23020945","pdf_url":"https://www.mdpi.com/1424-8220/23/2/945/pdf?version=1673611228","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/2/945/pdf?version=1673611228","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033019903","display_name":"Hamad Alharkan","orcid":"https://orcid.org/0000-0003-4736-6387"},"institutions":[{"id":"https://openalex.org/I156216236","display_name":"Qassim University","ror":"https://ror.org/01wsfe280","country_code":"SA","type":"education","lineage":["https://openalex.org/I156216236"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Hamad Alharkan","raw_affiliation_strings":["Department of Electrical Engineering, Unaizah College of Engineering, Qassim University, Unaizah 56452, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Unaizah College of Engineering, Qassim University, Unaizah 56452, Saudi Arabia","institution_ids":["https://openalex.org/I156216236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029191317","display_name":"Shabana Habib","orcid":"https://orcid.org/0000-0002-6543-2520"},"institutions":[{"id":"https://openalex.org/I156216236","display_name":"Qassim University","ror":"https://ror.org/01wsfe280","country_code":"SA","type":"education","lineage":["https://openalex.org/I156216236"]},{"id":"https://openalex.org/I4210092650","display_name":"Buraydah Colleges","ror":"https://ror.org/00j0krs40","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210092650"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Shabana Habib","raw_affiliation_strings":["Department of Information Technology, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-6543-2520","affiliations":[{"raw_affiliation_string":"Department of Information Technology, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia","institution_ids":["https://openalex.org/I156216236","https://openalex.org/I4210092650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024192822","display_name":"Muhammad Islam","orcid":"https://orcid.org/0000-0002-2379-4451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Islam","raw_affiliation_strings":["Department of Electrical Engineering, College of Engineering and Information Technology, Onaizah Colleges, Onaizah 56447, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-2379-4451","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, College of Engineering and Information Technology, Onaizah Colleges, Onaizah 56447, Saudi Arabia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033019903"],"corresponding_institution_ids":["https://openalex.org/I156216236"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":6.7031,"has_fulltext":true,"cited_by_count":80,"citation_normalized_percentile":{"value":0.97965802,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"2","first_page":"945","last_page":"945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998000264167786,"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":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.7617995738983154},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5932703614234924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5482821464538574},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5436451435089111},{"id":"https://openalex.org/keywords/solar-power","display_name":"Solar power","score":0.48375415802001953},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.48329833149909973},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46496230363845825},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.44074875116348267},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.43320319056510925},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.42613452672958374},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42032191157341003},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3457515239715576},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13002640008926392},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07954627275466919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7617995738983154},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5932703614234924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5482821464538574},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5436451435089111},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.48375415802001953},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.48329833149909973},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46496230363845825},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.44074875116348267},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.43320319056510925},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.42613452672958374},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42032191157341003},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3457515239715576},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13002640008926392},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07954627275466919},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D012993","descriptor_name":"Solar Energy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012993","descriptor_name":"Solar Energy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012993","descriptor_name":"Solar Energy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23020945","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23020945","pdf_url":"https://www.mdpi.com/1424-8220/23/2/945/pdf?version=1673611228","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36679739","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36679739","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9864442","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9864442","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9864442/pdf/sensors-23-00945.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:447d1fe02d824db3aead06fe137fc899","is_oa":true,"landing_page_url":"https://doaj.org/article/447d1fe02d824db3aead06fe137fc899","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 2, p 945 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/2/945/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23020945","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 2; Pages: 945","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23020945","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23020945","pdf_url":"https://www.mdpi.com/1424-8220/23/2/945/pdf?version=1673611228","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324403","display_name":"Qassim University","ror":"https://ror.org/01wsfe280"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4316466886.pdf"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1634828275","https://openalex.org/W1981047607","https://openalex.org/W2274744025","https://openalex.org/W2560599441","https://openalex.org/W2582181944","https://openalex.org/W2587586954","https://openalex.org/W2604695176","https://openalex.org/W2760948241","https://openalex.org/W2774089322","https://openalex.org/W2804202111","https://openalex.org/W2807818015","https://openalex.org/W2887743720","https://openalex.org/W2906361816","https://openalex.org/W2914790694","https://openalex.org/W2915610351","https://openalex.org/W2915701005","https://openalex.org/W2921835983","https://openalex.org/W2941944264","https://openalex.org/W2942485381","https://openalex.org/W2944920662","https://openalex.org/W2960560113","https://openalex.org/W2963151450","https://openalex.org/W2977155375","https://openalex.org/W2997135317","https://openalex.org/W2997163251","https://openalex.org/W3004615968","https://openalex.org/W3004832875","https://openalex.org/W3010192349","https://openalex.org/W3024269187","https://openalex.org/W3026665694","https://openalex.org/W3043685378","https://openalex.org/W3047269164","https://openalex.org/W3107152034","https://openalex.org/W3118620764","https://openalex.org/W3127742904","https://openalex.org/W3153454949","https://openalex.org/W3164894090","https://openalex.org/W3169285661","https://openalex.org/W3183694787","https://openalex.org/W3184493268","https://openalex.org/W3207024889","https://openalex.org/W4200207938","https://openalex.org/W4205384617","https://openalex.org/W4205565738","https://openalex.org/W4220953170","https://openalex.org/W4283158759","https://openalex.org/W4283704920","https://openalex.org/W4286252728","https://openalex.org/W4292510792","https://openalex.org/W4296021822","https://openalex.org/W4296126030","https://openalex.org/W4296705332","https://openalex.org/W4307262846","https://openalex.org/W4309091303","https://openalex.org/W4312187167","https://openalex.org/W4313362593","https://openalex.org/W6840012048"],"related_works":["https://openalex.org/W3199607909","https://openalex.org/W3120797817","https://openalex.org/W4379207511","https://openalex.org/W2907976155","https://openalex.org/W2505141013","https://openalex.org/W3090120914","https://openalex.org/W2591588891","https://openalex.org/W3088961008","https://openalex.org/W4281650189","https://openalex.org/W4319159631"],"abstract_inverted_index":{"The":[0,103,136],"integration":[1],"of":[2,19,30,41,138],"solar":[3,20,42,133,146],"energy":[4,57],"with":[5],"a":[6,66,82,115],"power":[7,21,33,43,49,134],"system":[8,34],"brings":[9],"great":[10],"economic":[11],"and":[12,28,39,74,95,106,148,160],"environmental":[13],"benefits.":[14],"However,":[15],"the":[16,26,31,37,151],"high":[17],"penetration":[18],"is":[22,51,89,97,140],"challenging":[23],"due":[24],"to":[25,36,53,91,118,155,164],"operation":[27],"planning":[29],"existing":[32],"owing":[35],"intermittence":[38],"randomicity":[40],"generation.":[44],"Achieving":[45],"accurate":[46],"predictions":[47],"for":[48,58,99,122,131],"generation":[50],"important":[52],"provide":[54],"high-quality":[55],"electric":[56],"end-users.":[59],"Therefore,":[60],"in":[61],"this":[62],"paper,":[63],"we":[64],"introduce":[65],"deep":[67],"learning-based":[68],"dual-stream":[69],"convolutional":[70],"neural":[71],"network":[72,79,85],"(CNN)":[73],"long":[75],"short-term":[76,132],"nemory":[77],"(LSTM)":[78],"followed":[80,113],"by":[81,114],"self-attention":[83,116],"mechanism":[84,117],"(DSCLANet).":[86],"Here,":[87],"CNN":[88],"used":[90],"learn":[92],"spatial":[93,105],"patterns":[94],"LSTM":[96],"incorporated":[98,130],"temporal":[100,107],"feature":[101,108],"extraction.":[102],"output":[104],"vectors":[109],"are":[110,129],"then":[111],"fused,":[112],"select":[119],"optimal":[120],"features":[121],"further":[123],"processing.":[124],"Finally,":[125],"fully":[126],"connected":[127],"layers":[128],"prediction.":[135],"performance":[137],"DSCLANet":[139],"evaluated":[141],"on":[142],"DKASC":[143],"Alice":[144],"Spring":[145],"datasets,":[147],"it":[149],"reduces":[150],"error":[152],"rate":[153],"up":[154],"0.0136":[156],"MSE,":[157],"0.0304":[158],"MAE,":[159],"0.0458":[161],"RMSE":[162],"compared":[163],"recent":[165],"state-of-the-art":[166],"methods.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":9}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}