Electricity sale quantity prediction method and system and electricity charge prediction method
The invention discloses an electricity sale quantity prediction method and system and an electricity charge prediction method, and the method comprises the following steps: obtaining an impact factor library which comprises impact factors related to the electricity sale quantity for representing a u...
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| creator | LI JIACHEN SHENG WEIGUANG LIU PENGCHENG LI QI GUO YINGDA ZHAO CHENMING JIANG SHAN WANG JING WANG ZHENNAN ZHANG JIANHAO CHEN XIAOYU YIN ZHI HONG HUSHENG QIN DANYANG YAN BOYU LIN YUNHAO ZHANG ZIHAO YANG LEI YAN YUAN SHI JIANGLING YU QIAN SU BIAO HE WEI LU LU WANG YUNFEI XIAO HAISONG CAO YAOQI |
| description | The invention discloses an electricity sale quantity prediction method and system and an electricity charge prediction method, and the method comprises the following steps: obtaining an impact factor library which comprises impact factors related to the electricity sale quantity for representing a user group; classifying the influence factors to obtain a first sub-influence factor strongly related to the electricity sale quantity of the user group and a second sub-influence factor weakly related to the electricity sale quantity of the user group; obtaining a daily feature vector set and daily electricity sales, and constructing a prediction model according to the daily feature vector set and the daily electricity sales; obtaining a day feature vector of a to-be-predicted day, and inputting the day feature vector into the prediction model to obtain an electricity sale quantity of the to-be-predicted day; according to the method, the first sub-influence factors which are strongly related to the electricity sale |
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obtaining a daily feature vector set and daily electricity sales, and constructing a prediction model according to the daily feature vector set and the daily electricity sales; obtaining a day feature vector of a to-be-predicted day, and inputting the day feature vector into the prediction model to obtain an electricity sale quantity of the to-be-predicted day; according to the method, the first sub-influence factors which are strongly related to the electricity sale</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240416&DB=EPODOC&CC=CN&NR=117892874A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25566,76549</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240416&DB=EPODOC&CC=CN&NR=117892874A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI JIACHEN</creatorcontrib><creatorcontrib>SHENG WEIGUANG</creatorcontrib><creatorcontrib>LIU PENGCHENG</creatorcontrib><creatorcontrib>LI QI</creatorcontrib><creatorcontrib>GUO YINGDA</creatorcontrib><creatorcontrib>ZHAO CHENMING</creatorcontrib><creatorcontrib>JIANG SHAN</creatorcontrib><creatorcontrib>WANG JING</creatorcontrib><creatorcontrib>WANG ZHENNAN</creatorcontrib><creatorcontrib>ZHANG JIANHAO</creatorcontrib><creatorcontrib>CHEN XIAOYU</creatorcontrib><creatorcontrib>YIN ZHI</creatorcontrib><creatorcontrib>HONG HUSHENG</creatorcontrib><creatorcontrib>QIN DANYANG</creatorcontrib><creatorcontrib>YAN BOYU</creatorcontrib><creatorcontrib>LIN YUNHAO</creatorcontrib><creatorcontrib>ZHANG ZIHAO</creatorcontrib><creatorcontrib>YANG LEI</creatorcontrib><creatorcontrib>YAN YUAN</creatorcontrib><creatorcontrib>SHI JIANGLING</creatorcontrib><creatorcontrib>YU QIAN</creatorcontrib><creatorcontrib>SU BIAO</creatorcontrib><creatorcontrib>HE WEI</creatorcontrib><creatorcontrib>LU LU</creatorcontrib><creatorcontrib>WANG YUNFEI</creatorcontrib><creatorcontrib>XIAO HAISONG</creatorcontrib><creatorcontrib>CAO YAOQI</creatorcontrib><title>Electricity sale quantity prediction method and system and electricity charge prediction method</title><description>The invention discloses an electricity sale quantity prediction method and system and an electricity charge prediction method, and the method comprises the following steps: obtaining an impact factor library which comprises impact factors related to the electricity sale quantity for representing a user group; classifying the influence factors to obtain a first sub-influence factor strongly related to the electricity sale quantity of the user group and a second sub-influence factor weakly related to the electricity sale quantity of the user group; obtaining a daily feature vector set and daily electricity sales, and constructing a prediction model according to the daily feature vector set and the daily electricity sales; obtaining a day feature vector of a to-be-predicted day, and inputting the day feature vector into the prediction model to obtain an electricity sale quantity of the to-be-predicted day; according to the method, the first sub-influence factors which are strongly related to the electricity sale</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZIh3zUlNLinKTM4sqVQoTsxJVSgsTcwrAfEKilJTMpNLMvPzFHJTSzLyUxQS81IUiiuLS1JzwcxUJK3JGYlF6amYengYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhuYWlkYW5iaMxMWoA97c94w</recordid><startdate>20240416</startdate><enddate>20240416</enddate><creator>LI JIACHEN</creator><creator>SHENG WEIGUANG</creator><creator>LIU PENGCHENG</creator><creator>LI QI</creator><creator>GUO YINGDA</creator><creator>ZHAO CHENMING</creator><creator>JIANG SHAN</creator><creator>WANG JING</creator><creator>WANG ZHENNAN</creator><creator>ZHANG JIANHAO</creator><creator>CHEN XIAOYU</creator><creator>YIN ZHI</creator><creator>HONG HUSHENG</creator><creator>QIN DANYANG</creator><creator>YAN BOYU</creator><creator>LIN YUNHAO</creator><creator>ZHANG ZIHAO</creator><creator>YANG LEI</creator><creator>YAN YUAN</creator><creator>SHI JIANGLING</creator><creator>YU QIAN</creator><creator>SU BIAO</creator><creator>HE WEI</creator><creator>LU LU</creator><creator>WANG YUNFEI</creator><creator>XIAO HAISONG</creator><creator>CAO YAOQI</creator><scope>EVB</scope></search><sort><creationdate>20240416</creationdate><title>Electricity sale quantity prediction method and system and electricity charge prediction method</title><author>LI JIACHEN ; 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classifying the influence factors to obtain a first sub-influence factor strongly related to the electricity sale quantity of the user group and a second sub-influence factor weakly related to the electricity sale quantity of the user group; obtaining a daily feature vector set and daily electricity sales, and constructing a prediction model according to the daily feature vector set and the daily electricity sales; obtaining a day feature vector of a to-be-predicted day, and inputting the day feature vector into the prediction model to obtain an electricity sale quantity of the to-be-predicted day; according to the method, the first sub-influence factors which are strongly related to the electricity sale</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Electricity sale quantity prediction method and system and electricity charge prediction method |
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