{"id":"https://openalex.org/W2060217768","doi":"https://doi.org/10.4304/jsw.7.6.1273-1280","title":"The Load Forecasting Model Based on Bayes-GRNN","display_name":"The Load Forecasting Model Based on Bayes-GRNN","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2060217768","doi":"https://doi.org/10.4304/jsw.7.6.1273-1280","mag":"2060217768"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.7.6.1273-1280","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.7.6.1273-1280","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/A5100642929","display_name":"Yanmei Li","orcid":"https://orcid.org/0000-0001-9416-8530"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanmei Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101502443","display_name":"Jingmin Wang","orcid":"https://orcid.org/0000-0001-8994-0389"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingmin Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2455,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60282926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9990000128746033,"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":0.9990000128746033,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.983299970626831,"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/T12368","display_name":"Grey System Theory Applications","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.91231369972229},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6008762717247009},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.49464890360832214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49449750781059265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46549734473228455},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36146801710128784},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2590309977531433},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.037415504455566406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.91231369972229},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6008762717247009},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.49464890360832214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49449750781059265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46549734473228455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36146801710128784},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2590309977531433},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.037415504455566406}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.7.6.1273-1280","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.7.6.1273-1280","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W213210476","https://openalex.org/W277532014","https://openalex.org/W2110410858","https://openalex.org/W2142375243","https://openalex.org/W2161717866","https://openalex.org/W2171697319","https://openalex.org/W2348202801","https://openalex.org/W2348979900","https://openalex.org/W2349171358","https://openalex.org/W2352032014","https://openalex.org/W2356573345","https://openalex.org/W2361240693","https://openalex.org/W2361405057","https://openalex.org/W2368515198","https://openalex.org/W2369863873","https://openalex.org/W2370751683","https://openalex.org/W2372272968","https://openalex.org/W2375276351","https://openalex.org/W2375553638","https://openalex.org/W2375577676","https://openalex.org/W2376301752","https://openalex.org/W2377616863","https://openalex.org/W2378325894","https://openalex.org/W2378397640","https://openalex.org/W2378670420","https://openalex.org/W2382077166","https://openalex.org/W2387299039","https://openalex.org/W2387500839","https://openalex.org/W2390130579","https://openalex.org/W2390310841","https://openalex.org/W2390933546","https://openalex.org/W2391494107","https://openalex.org/W2392223412","https://openalex.org/W2393271137","https://openalex.org/W2393933760","https://openalex.org/W2394407475","https://openalex.org/W4253226372","https://openalex.org/W6608712101","https://openalex.org/W6610108655","https://openalex.org/W6683776141","https://openalex.org/W6707025850","https://openalex.org/W6707255488","https://openalex.org/W6709118410","https://openalex.org/W6709347295","https://openalex.org/W6709841835","https://openalex.org/W6711882653"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W1470425429","https://openalex.org/W3107602296","https://openalex.org/W3014815208","https://openalex.org/W4306742369","https://openalex.org/W2171665309","https://openalex.org/W2086147528","https://openalex.org/W4313444831","https://openalex.org/W2949661619","https://openalex.org/W4327531511"],"abstract_inverted_index":{"Comparison":[0],"with":[1],"the":[2,7,30,43,49],"classical":[3,90],"BP":[4,91],"neural":[5,10,92],"network,":[6],"generalized":[8],"regression":[9],"network":[11],"requires":[12],"not":[13,37],"periodic":[14],"training":[15,44],"process":[16],"but":[17],"a":[18],"smoothing":[19],"parameter.":[20],"The":[21,46,72],"model":[22],"has":[23],"steady":[24],"and":[25,28,56,80,87],"fast":[26],"speed,":[27],"meanwhile,":[29],"connection":[31],"weight":[32],"of":[33,52,69,84],"different":[34],"neurons":[35],"is":[36,74],"necessary":[38],"to":[39,61,76,89],"be":[40,66],"adjusted":[41],"in":[42],"process.":[45],"paper":[47],"establishes":[48],"index":[50],"system":[51],"GRNN":[53,70],"forecasting":[54],"model,":[55],"then":[57],"uses":[58],"Bayes":[59],"theory":[60],"reduce":[62],"them,":[63],"which":[64],"will":[65],"inputting":[67],"variables":[68],"model.":[71],"method":[73],"testified":[75],"get":[77],"higher":[78],"speed":[79],"accuracy":[81],"by":[82],"simulation":[83],"actual":[85],"data":[86],"comparison":[88],"network.":[93]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}