{"id":"https://openalex.org/W2148270504","doi":"https://doi.org/10.1109/apccas.2008.4746036","title":"Support vector machines based on Lyapunov exponents in power load forecasting model","display_name":"Support vector machines based on Lyapunov exponents in power load forecasting model","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2148270504","doi":"https://doi.org/10.1109/apccas.2008.4746036","mag":"2148270504"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2008.4746036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and 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/A5110504912","display_name":"Dongxiao Niu","orcid":"https://orcid.org/0009-0004-0878-3801"},"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":"Dongxiao Niu","raw_affiliation_strings":["School of Business Administration, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Business Administration, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633730","display_name":"Yongli Wang","orcid":"https://orcid.org/0000-0002-7095-3697"},"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":"Yongli Wang","raw_affiliation_strings":["School of Business Administration, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Business Administration, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102119965","display_name":"Zhihong Gu","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":"Zhihong Gu","raw_affiliation_strings":["School of Business Administration, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Business Administration, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110504912"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.8225,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80174443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"368","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9923999905586243,"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":0.9923999905586243,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9824000000953674,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lyapunov-exponent","display_name":"Lyapunov exponent","score":0.9021666049957275},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.642678439617157},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6426088213920593},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6178619265556335},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5423522591590881},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5053961277008057},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.43990713357925415},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4322358965873718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42307204008102417},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4226875305175781},{"id":"https://openalex.org/keywords/phase-space","display_name":"Phase space","score":0.4162726104259491},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3778659403324127},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36695942282676697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22665837407112122}],"concepts":[{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.9021666049957275},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.642678439617157},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6426088213920593},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6178619265556335},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5423522591590881},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5053961277008057},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.43990713357925415},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4322358965873718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42307204008102417},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4226875305175781},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.4162726104259491},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3778659403324127},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36695942282676697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22665837407112122},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas.2008.4746036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.46000000834465027,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2108568046","https://openalex.org/W2113771848","https://openalex.org/W2152254020","https://openalex.org/W2387271675","https://openalex.org/W4230674625"],"related_works":["https://openalex.org/W2361515791","https://openalex.org/W2375956839","https://openalex.org/W2899627504","https://openalex.org/W2022691459","https://openalex.org/W2973136064","https://openalex.org/W2012691558","https://openalex.org/W2009385573","https://openalex.org/W1990019600","https://openalex.org/W2027776969","https://openalex.org/W2374427492"],"abstract_inverted_index":{"According":[0],"to":[1,31,43,57,63,76,83,94],"the":[2,11,32,65,79,85,88,97,105,113],"chaotic":[3],"and":[4,37,47,109],"non-linear":[5],"characters":[6],"of":[7,13,34,67,87,99,115],"power":[8,59,117],"load":[9],"data,":[10],"model":[12,106],"support":[14,51],"vector":[15,52],"machines":[16,53],"(SVM)":[17],"based":[18],"on":[19],"Lyapunov":[20,39],"exponents":[21,40],"was":[22,28,41,55,92],"established.":[23],"The":[24,101],"time":[25,45],"series":[26],"matrix":[27],"established":[29],"according":[30],"theory":[33],"phase-space":[35],"reconstruction,":[36],"then":[38],"computed":[42],"determine":[44],"delay":[46],"embedding":[48],"dimension.":[49,81],"Then":[50],"algorithm":[54,91],"used":[56,93],"predict":[58],"load.":[60,118],"In":[61],"order":[62],"prove":[64,84],"rationality":[66],"chosen":[68],"dimension,":[69],"another":[70],"two":[71],"random":[72],"dimensions":[73],"were":[74],"selected":[75],"compare":[77,95],"with":[78,96],"calculated":[80],"And":[82],"effectiveness":[86],"model,":[89],"BP":[90],"result":[98],"SVM.":[100],"results":[102],"show":[103],"that":[104],"is":[107],"effective":[108],"highly":[110],"accurate":[111],"in":[112],"forecasting":[114],"short-term":[116]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
