{"id":"https://openalex.org/W1538156617","doi":"https://doi.org/10.1109/ccis.2014.7175764","title":"Power generation forecasting model for photovoltaic array based on generic algorithm and BP neural network","display_name":"Power generation forecasting model for photovoltaic array based on generic algorithm and BP neural network","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1538156617","doi":"https://doi.org/10.1109/ccis.2014.7175764","mag":"1538156617"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2014.7175764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2014.7175764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046425983","display_name":"Zhengqiu Yang","orcid":"https://orcid.org/0000-0001-7128-7166"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengqiu Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China","Beijing University of Posts and Telecommunications, 100876 China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, 100876 China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109044615","display_name":"Yapei Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yapei Cao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China","Beijing University of Posts and Telecommunications, 100876 China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, 100876 China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048176514","display_name":"Jiapeng Xiu","orcid":"https://orcid.org/0009-0004-1249-2337"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapeng Xiu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China","Beijing University of Posts and Telecommunications, 100876 China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, 100876 China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046425983"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.03637063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":null,"first_page":"380","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9164000153541565,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9164000153541565,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9002000093460083,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/artificial-neural-network","display_name":"Artificial neural network","score":0.7763402462005615},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.7054256796836853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6269518136978149},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5477043390274048},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4704992473125458},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4636721611022949},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4449446499347687},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4202457070350647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3086757957935333},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24420106410980225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23935246467590332},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10723423957824707}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7763402462005615},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7054256796836853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6269518136978149},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5477043390274048},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4704992473125458},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4636721611022949},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4449446499347687},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4202457070350647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3086757957935333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24420106410980225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23935246467590332},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10723423957824707},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2014.7175764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2014.7175764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2360592603","https://openalex.org/W2367527857","https://openalex.org/W2382742210","https://openalex.org/W2390532700"],"related_works":["https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W2034374297","https://openalex.org/W2382628689","https://openalex.org/W2766130412","https://openalex.org/W2526730640","https://openalex.org/W2351171996","https://openalex.org/W2983370139","https://openalex.org/W2057543190","https://openalex.org/W2070261081"],"abstract_inverted_index":{"High":[0],"concentration":[1],"photovoltaic":[2],"is":[3,19,96],"a":[4],"new":[5],"type":[6],"of":[7,34,40,83,93],"solar":[8,42],"power":[9,43,57],"generation":[10,58],"mode,":[11],"which":[12,53],"has":[13],"better":[14],"photoelectric":[15],"conversion":[16],"rate":[17],"but":[18],"more":[20],"vulnerable":[21],"to":[22,77],"weather":[23],"factors.":[24],"Therefore,":[25],"accurate":[26],"and":[27,38,73,81],"efficient":[28],"forecasting":[29,51,56,71],"methods":[30],"have":[31],"important":[32],"significance":[33],"increasing":[35],"the":[36,41,49,69,79,90],"security":[37],"stability":[39],"station.":[44],"This":[45,62],"paper":[46,63],"focuses":[47],"on":[48],"short-term":[50],"method":[52,95],"aims":[54],"at":[55],"in":[59],"five":[60],"minutes.":[61],"uses":[64],"BP":[65],"neural":[66],"network(BP-NN)":[67],"as":[68],"basic":[70],"model":[72],"applies":[74],"generic":[75],"algorithm(GA)":[76],"optimize":[78],"weights":[80],"thresholds":[82],"BP-NN.":[84],"The":[85],"experimental":[86],"results":[87],"show":[88],"that,":[89],"prediction":[91],"effect":[92],"this":[94],"ideal.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}