{"id":"https://openalex.org/W2369533204","doi":"https://doi.org/10.1007/s10878-016-0027-7","title":"Power load forecasting by wavelet least squares support vector machine with improved fruit fly optimization algorithm","display_name":"Power load forecasting by wavelet least squares support vector machine with improved fruit fly optimization algorithm","publication_year":2016,"publication_date":"2016-05-12","ids":{"openalex":"https://openalex.org/W2369533204","doi":"https://doi.org/10.1007/s10878-016-0027-7","mag":"2369533204"},"language":"en","primary_location":{"id":"doi:10.1007/s10878-016-0027-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10878-016-0027-7","pdf_url":null,"source":{"id":"https://openalex.org/S107925523","display_name":"Journal of Combinatorial Optimization","issn_l":"1382-6905","issn":["1382-6905","1573-2886"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Combinatorial Optimization","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":null,"display_name":"Niu Dongxiao","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Niu Dongxiao","raw_affiliation_strings":["Department of Business Administration, North China Electric Power University, Beijing, 102206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Administration, North China Electric Power University, Beijing, 102206, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055461556","display_name":"Tiannan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ma Tiannan","raw_affiliation_strings":["Department of Business Administration, North China Electric Power University, Beijing, 102206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Administration, North China Electric Power University, Beijing, 102206, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056879438","display_name":"Bingyi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Bingyi","raw_affiliation_strings":["Department of Business Administration, North China Electric Power University, Beijing, 102206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Administration, North China Electric Power University, Beijing, 102206, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055461556"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.564,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93185126,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"33","issue":"3","first_page":"1122","last_page":"1143"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12368","display_name":"Grey System Theory Applications","score":0.9923999905586243,"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/support-vector-machine","display_name":"Support vector machine","score":0.6565430164337158},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.539777934551239},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.49855780601501465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4802577793598175},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.47937944531440735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.477952241897583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.469215989112854},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4678312838077545},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.41366127133369446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25403016805648804},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.24709108471870422}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6565430164337158},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.539777934551239},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.49855780601501465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4802577793598175},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.47937944531440735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.477952241897583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.469215989112854},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4678312838077545},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.41366127133369446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25403016805648804},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.24709108471870422},{"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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10878-016-0027-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10878-016-0027-7","pdf_url":null,"source":{"id":"https://openalex.org/S107925523","display_name":"Journal of Combinatorial Optimization","issn_l":"1382-6905","issn":["1382-6905","1573-2886"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Combinatorial Optimization","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:jcomop:v:33:y:2017:i:3:d:10.1007_s10878-016-0027-7","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10878-016-0027-7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8846672290","display_name":"\u533a\u57df\u7535\u7f51\u51b0\u51bb\u707e\u5bb3\u4e2d\u7684\u7535\u529b\u7ebf\u8def\u8986\u51b0\u9884\u6d4b\u7ba1\u7406\u7406\u8bba\u7814\u7a76","funder_award_id":"71471059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W70668882","https://openalex.org/W1969765329","https://openalex.org/W1976213122","https://openalex.org/W1978790155","https://openalex.org/W1982052938","https://openalex.org/W1983865796","https://openalex.org/W2007369711","https://openalex.org/W2014928429","https://openalex.org/W2015799639","https://openalex.org/W2019411586","https://openalex.org/W2021866685","https://openalex.org/W2031489288","https://openalex.org/W2067688816","https://openalex.org/W2068206361","https://openalex.org/W2068438324","https://openalex.org/W2072479540","https://openalex.org/W2075811533","https://openalex.org/W2082776647","https://openalex.org/W2089822378","https://openalex.org/W2093195672","https://openalex.org/W2150291692","https://openalex.org/W2356074216","https://openalex.org/W2362751652","https://openalex.org/W2394029709"],"related_works":["https://openalex.org/W2122277321","https://openalex.org/W2382231800","https://openalex.org/W2650781048","https://openalex.org/W2538830880","https://openalex.org/W2350302603","https://openalex.org/W2134202645","https://openalex.org/W2394871888","https://openalex.org/W2012353789","https://openalex.org/W2769345709","https://openalex.org/W2372354349"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
