{"id":"https://openalex.org/W2051651675","doi":"https://doi.org/10.1109/cies.2014.7011839","title":"Solar irradiance forecasting by using wavelet based denoising","display_name":"Solar irradiance forecasting by using wavelet based denoising","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2051651675","doi":"https://doi.org/10.1109/cies.2014.7011839","mag":"2051651675"},"language":"en","primary_location":{"id":"doi:10.1109/cies.2014.7011839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cies.2014.7011839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES)","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/A5026285562","display_name":"Lingyu Lyu","orcid":"https://orcid.org/0000-0002-3770-4840"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingyu Lyu","raw_affiliation_strings":["Department of CECS, University of Louisville, Louisville, Kentucky, USA","Department of CECS, University of Louisville, Kentucky, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CECS, University of Louisville, Louisville, Kentucky, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Department of CECS, University of Louisville, Kentucky, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065596336","display_name":"Mehmed Kantardzic","orcid":"https://orcid.org/0000-0002-6861-4434"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehmed Kantardzic","raw_affiliation_strings":["Department of CECS, University of Louisville, Louisville, Kentucky, USA","Department of CECS, University of Louisville, Kentucky, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CECS, University of Louisville, Louisville, Kentucky, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Department of CECS, University of Louisville, Kentucky, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068281225","display_name":"Elaheh Arabmakki","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elaheh Arabmakki","raw_affiliation_strings":["Department of CECS, University of Louisville, Louisville, Kentucky, USA","Department of CECS, University of Louisville, Kentucky, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CECS, University of Louisville, Louisville, Kentucky, USA","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Department of CECS, University of Louisville, Kentucky, USA","institution_ids":["https://openalex.org/I142740786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142740786"],"apc_list":null,"apc_paid":null,"fwci":2.5371,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.91039564,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"110","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9990000128746033,"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":0.9990000128746033,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.994700014591217,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/irradiance","display_name":"Irradiance","score":0.739432692527771},{"id":"https://openalex.org/keywords/solar-irradiance","display_name":"Solar irradiance","score":0.7117258310317993},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.675478458404541},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6074516773223877},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.595691442489624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5846626162528992},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5164039731025696},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4744996726512909},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.47407642006874084},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.43262699246406555},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.42727699875831604},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4262824058532715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3481963276863098},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.29980623722076416},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2213505208492279},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0964917242527008},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06089287996292114}],"concepts":[{"id":"https://openalex.org/C46423501","wikidata":"https://www.wikidata.org/wiki/Q830654","display_name":"Irradiance","level":2,"score":0.739432692527771},{"id":"https://openalex.org/C9695528","wikidata":"https://www.wikidata.org/wiki/Q7556707","display_name":"Solar irradiance","level":2,"score":0.7117258310317993},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.675478458404541},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6074516773223877},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.595691442489624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5846626162528992},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5164039731025696},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4744996726512909},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.47407642006874084},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.43262699246406555},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42727699875831604},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4262824058532715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3481963276863098},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.29980623722076416},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2213505208492279},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0964917242527008},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06089287996292114},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cies.2014.7011839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cies.2014.7011839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W19432186","https://openalex.org/W123320244","https://openalex.org/W191129667","https://openalex.org/W196071634","https://openalex.org/W284143656","https://openalex.org/W567812065","https://openalex.org/W1905397622","https://openalex.org/W1977318470","https://openalex.org/W1996688253","https://openalex.org/W2001755720","https://openalex.org/W2009283913","https://openalex.org/W2017186929","https://openalex.org/W2018787028","https://openalex.org/W2020835139","https://openalex.org/W2024787682","https://openalex.org/W2041716774","https://openalex.org/W2042511026","https://openalex.org/W2057781397","https://openalex.org/W2070826863","https://openalex.org/W2079547580","https://openalex.org/W2079724595","https://openalex.org/W2122371844","https://openalex.org/W2145804350","https://openalex.org/W2146842127","https://openalex.org/W2158940042","https://openalex.org/W2164528327","https://openalex.org/W2182936301","https://openalex.org/W2293747114","https://openalex.org/W4214806317","https://openalex.org/W4255521522","https://openalex.org/W4255692702","https://openalex.org/W4285719527","https://openalex.org/W6607837620"],"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":{"Predicting":[0],"of":[1],"global":[2],"solar":[3,11,23],"irradiance":[4],"is":[5,34,76],"very":[6],"important":[7],"in":[8,66],"applications":[9],"using":[10],"energy":[12],"resources.":[13],"This":[14],"research":[15],"introduces":[16],"a":[17,31,94],"new":[18],"methodology":[19],"to":[20,36,52],"estimate":[21],"the":[22,37,62,79,90],"irradiance.":[24],"Denoising":[25],"based":[26],"on":[27,56],"wavelet":[28],"transformation":[29],"as":[30],"preprocessing":[32],"step":[33],"applied":[35],"time":[38],"series":[39],"meteorological":[40],"data.":[41],"Artificial":[42],"neural":[43],"network":[44],"and":[45,69,83],"support":[46],"vector":[47],"machine":[48],"are":[49],"then":[50],"used":[51],"make":[53],"predictive":[54,81],"model":[55],"Global":[57],"Horizontal":[58],"Irradiance":[59],"(GHI)":[60],"for":[61,78],"three":[63],"cities":[64],"located":[65],"California,":[67],"Kentucky":[68],"New":[70],"York,":[71],"individually.":[72],"Detailed":[73],"experimental":[74],"analysis":[75],"presented":[77],"developed":[80],"models":[82],"comparisons":[84],"with":[85,97],"existing":[86],"methodologies":[87],"show":[88],"that":[89],"proposed":[91],"approach":[92],"gives":[93],"significant":[95],"improvement":[96],"increased":[98],"generality.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
