{"id":"https://openalex.org/W2245942605","doi":"https://doi.org/10.1109/isgt-asia.2015.7387180","title":"Forecasting of solar irradiance for solar power plants by artificial neural network","display_name":"Forecasting of solar irradiance for solar power plants by artificial neural network","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2245942605","doi":"https://doi.org/10.1109/isgt-asia.2015.7387180","mag":"2245942605"},"language":"en","primary_location":{"id":"doi:10.1109/isgt-asia.2015.7387180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt-asia.2015.7387180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)","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/A5017466684","display_name":"S. Watetakarn","orcid":null},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"S. Watetakarn","raw_affiliation_strings":["Department of Electrical Engineering, Chiang Mai University, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chiang Mai University, Thailand","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041172657","display_name":"Suttichai Premrudeepreechacharn","orcid":"https://orcid.org/0000-0001-9902-7729"},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"S. Premrudeepreechacharn","raw_affiliation_strings":["Chiang Mai University, Chiang Mai, TH"],"affiliations":[{"raw_affiliation_string":"Chiang Mai University, Chiang Mai, TH","institution_ids":["https://openalex.org/I48076826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017466684"],"corresponding_institution_ids":["https://openalex.org/I48076826"],"apc_list":null,"apc_paid":null,"fwci":3.883,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94256817,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983000159263611,"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":0.9969000220298767,"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/solar-irradiance","display_name":"Solar irradiance","score":0.852541446685791},{"id":"https://openalex.org/keywords/irradiance","display_name":"Irradiance","score":0.7732954025268555},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.6498310565948486},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.6067728996276855},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.603330135345459},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.583236038684845},{"id":"https://openalex.org/keywords/solar-power","display_name":"Solar power","score":0.48026204109191895},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4785347878932953},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.4467485547065735},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3643631041049957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2968893349170685},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25322118401527405},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10768690705299377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0961974561214447},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08411991596221924},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0753825306892395},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06928747892379761}],"concepts":[{"id":"https://openalex.org/C9695528","wikidata":"https://www.wikidata.org/wiki/Q7556707","display_name":"Solar irradiance","level":2,"score":0.852541446685791},{"id":"https://openalex.org/C46423501","wikidata":"https://www.wikidata.org/wiki/Q830654","display_name":"Irradiance","level":2,"score":0.7732954025268555},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6498310565948486},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.6067728996276855},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.603330135345459},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.583236038684845},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.48026204109191895},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4785347878932953},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.4467485547065735},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3643631041049957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2968893349170685},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25322118401527405},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10768690705299377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0961974561214447},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08411991596221924},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0753825306892395},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06928747892379761},{"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/isgt-asia.2015.7387180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt-asia.2015.7387180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)","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":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335232","display_name":"Graduate School, Chiang Mai University","ror":"https://ror.org/05m2fqn25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W597058903","https://openalex.org/W1978129882","https://openalex.org/W2000286412","https://openalex.org/W2027883383","https://openalex.org/W2041659569","https://openalex.org/W2042751292","https://openalex.org/W2084114107","https://openalex.org/W2099365903","https://openalex.org/W6618055034","https://openalex.org/W6644791107"],"related_works":["https://openalex.org/W1530649511","https://openalex.org/W3104379783","https://openalex.org/W2131174359","https://openalex.org/W4322211974","https://openalex.org/W2884263184","https://openalex.org/W2995848355","https://openalex.org/W1749313231","https://openalex.org/W3201088759","https://openalex.org/W2023949803","https://openalex.org/W1578057650"],"abstract_inverted_index":{"This":[0,19,67],"paper":[1,68],"presents":[2],"solar":[3,16,20,38,80,85,104],"irradiance":[4,39,86,105],"forecasting":[5,101,137],"in":[6,63,106,110,117,130],"Mae":[7,9],"Sariang,":[8],"Hongson":[10],"Province,":[11],"Thailand":[12],"which":[13,57,113],"has":[14,48,69],"a":[15,24,41,45],"power":[17,21,29,42,65],"plant.":[18],"plan":[22],"is":[23],"photovoltaic":[25],"(PV)":[26],"with":[27],"capacity":[28],"output":[30],"at":[31],"4":[32],"MW.":[33],"However,":[34],"the":[35,59,71,98,118,125,131,136],"adoption":[36],"of":[37,90,135],"as":[40],"source":[43],"on":[44],"global":[46],"scale":[47],"not":[49,115],"been":[50],"uniform,":[51],"due":[52],"to":[53,78],"by":[54,75],"meteorological":[55,88],"conditions,":[56],"cause":[58],"fluctuations":[60],"and":[61,87,94],"inconsistencies":[62],"PV":[64],"output.":[66],"applied":[70],"Artificial":[72],"Neural":[73],"Network":[74],"Backpropagation":[76],"algorithm":[77],"forecast":[79],"irradiance.":[81],"The":[82,100],"model":[83],"uses":[84],"data":[89,96],"previous":[91],"7-day":[92],"period":[93],"relevant":[95],"for":[97],"training.":[99],"results":[102,121],"predict":[103],"half":[107],"hour":[108],"increments":[109],"present":[111],"day":[112],"were":[114],"used":[116],"modeling.":[119],"Simulation":[120],"have":[122],"shown":[123],"that":[124],"mean":[126],"absolute":[127],"percentage":[128],"errors":[129],"four":[132],"example":[133],"days":[134],"are":[138],"less":[139],"than":[140],"6%.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
