{"id":"https://openalex.org/W4393208128","doi":"https://doi.org/10.1145/3640115.3640173","title":"Optimal Design of Power Marketing Decision Support System Based on Power Big Data","display_name":"Optimal Design of Power Marketing Decision Support System Based on Power Big Data","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4393208128","doi":"https://doi.org/10.1145/3640115.3640173"},"language":"en","primary_location":{"id":"doi:10.1145/3640115.3640173","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640115.3640173","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640115.3640173","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3640115.3640173","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103028678","display_name":"Jie Sun","orcid":"https://orcid.org/0009-0001-3487-0042"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Sun","raw_affiliation_strings":["State Grid Anhui Electric Power Company Bengbu Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0001-3487-0042","affiliations":[{"raw_affiliation_string":"State Grid Anhui Electric Power Company Bengbu Power Supply Company, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5094254091","display_name":"Degui Qiu","orcid":"https://orcid.org/0009-0002-7425-4073"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Degui Qiu","raw_affiliation_strings":["State Grid Anhui Electric Power Company Bengbu Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0002-7425-4073","affiliations":[{"raw_affiliation_string":"State Grid Anhui Electric Power Company Bengbu Power Supply Company, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34699357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"358","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.9383000135421753,"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"}},"topics":[{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.9383000135421753,"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"}},{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.9193999767303467,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.6149331331253052},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.612655520439148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5381779074668884},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.5270838141441345},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3606449365615845},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2240055799484253}],"concepts":[{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.6149331331253052},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.612655520439148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5381779074668884},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.5270838141441345},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3606449365615845},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2240055799484253},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640115.3640173","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640115.3640173","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640115.3640173","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3640115.3640173","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640115.3640173","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640115.3640173","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393208128.pdf","grobid_xml":"https://content.openalex.org/works/W4393208128.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2574008730","https://openalex.org/W2810914995","https://openalex.org/W2935631455","https://openalex.org/W3214442659","https://openalex.org/W4223485172","https://openalex.org/W4225754404","https://openalex.org/W4250649845","https://openalex.org/W4254678034"],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2551093110","https://openalex.org/W2148016376","https://openalex.org/W4237919137","https://openalex.org/W3184179822","https://openalex.org/W3095362084","https://openalex.org/W3003361536"],"abstract_inverted_index":{"As":[0],"a":[1],"new":[2,12],"technical":[3],"means,":[4],"electric":[5,20],"power":[6,21,33,44,52,61,121,183],"big":[7,53],"data":[8],"analysis":[9],"technology":[10],"provides":[11],"ideas":[13],"and":[14,63,142,147,163,175],"methods":[15,144],"for":[16,60,145,178],"marketing":[17,34,45,57,180],"decision-making":[18],"of":[19,28,43,73,118,182],"enterprises.":[22,184],"In":[23],"this":[24,74,108,134,154,169],"article,":[25],"the":[26,40,71,89,115,128,131,179],"problem":[27],"consumer":[29],"propensity":[30],"prediction":[31],"in":[32,107,113,120,133],"is":[35,76,80,97],"studied,":[36],"aiming":[37],"at":[38],"discussing":[39],"optimal":[41],"design":[42],"decision":[46,58,181],"support":[47,59],"system":[48],"(DSS)":[49],"based":[50],"on":[51],"data,":[54],"providing":[55],"better":[56],"enterprises":[62],"realizing":[64],"sustainable":[65],"development.":[66],"The":[67,105],"results":[68],"show":[69],"that":[70,130],"accuracy":[72],"algorithm":[75,106,132,155],"over":[77],"94%,":[78],"which":[79,96],"more":[81,93,98,137,140,161,165,173],"than":[82,85,94,99,102],"10%":[83],"higher":[84,101],"ID3":[86,103],"algorithm.":[87,104],"And":[88],"recall":[90],"has":[91,110],"reached":[92],"85%,":[95],"8%":[100],"article":[109,135],"obvious":[111],"advantages":[112,124,152],"forecasting":[114],"consumption":[116,159],"tendency":[117,160],"consumers":[119],"marketing.":[122],"These":[123,151],"mainly":[125],"come":[126],"from":[127],"fact":[129],"considers":[136],"features,":[138],"adopts":[139],"flexible":[141],"efficient":[143],"prediction,":[146],"uses":[148],"regularization":[149],"technology.":[150],"enable":[153],"to":[156],"predict":[157],"consumers'":[158],"accurately":[162],"cover":[164],"potential":[166],"consumers.":[167],"Therefore,":[168],"method":[170],"can":[171],"provide":[172],"accurate":[174],"reliable":[176],"basis":[177]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
