Residential electricity consumption characteristic grouping model construction method
The invention discloses a residential electricity consumption characteristic clustering model construction method, which comprises the following steps of: 1, carrying out clustering and clustering on users by combining clustering, curve similarity and a factor analysis algorithm based on dimensions...
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| creator | CHEN MING WANG YUNAN LAN SENLIN MA YUAN CHEN XINGJUN GUO JIAJING GU XINGCHEN ZHAO SHUNLIN |
| description | The invention discloses a residential electricity consumption characteristic clustering model construction method, which comprises the following steps of: 1, carrying out clustering and clustering on users by combining clustering, curve similarity and a factor analysis algorithm based on dimensions of a user hour electricity consumption rule, an electricity consumption scale, electricity consumption conditions of different date types and an electric appliance use condition in model construction; step 2, based on the model construction result, analyzing and calculating power consumption data of various electrical appliances at 96 o'clock for continuous 3 months of the user, obtaining multiple types of feature grouping users, retaining high-similarity users, and obtaining different user types; step 3, obtaining feature groups of various users, locking different users, analyzing power consumption conditions of the different users, and summarizing power consumption features of the different users in combination w |
| format | Patent |
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step 2, based on the model construction result, analyzing and calculating power consumption data of various electrical appliances at 96 o'clock for continuous 3 months of the user, obtaining multiple types of feature grouping users, retaining high-similarity users, and obtaining different user types; step 3, obtaining feature groups of various users, locking different users, analyzing power consumption conditions of the different users, and summarizing power consumption features of the different users in combination w</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2022</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=20221011&DB=EPODOC&CC=CN&NR=115169860A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25566,76549</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221011&DB=EPODOC&CC=CN&NR=115169860A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN MING</creatorcontrib><creatorcontrib>WANG YUNAN</creatorcontrib><creatorcontrib>LAN SENLIN</creatorcontrib><creatorcontrib>MA YUAN</creatorcontrib><creatorcontrib>CHEN XINGJUN</creatorcontrib><creatorcontrib>GUO JIAJING</creatorcontrib><creatorcontrib>GU XINGCHEN</creatorcontrib><creatorcontrib>ZHAO SHUNLIN</creatorcontrib><title>Residential electricity consumption characteristic grouping model construction method</title><description>The invention discloses a residential electricity consumption characteristic clustering model construction method, which comprises the following steps of: 1, carrying out clustering and clustering on users by combining clustering, curve similarity and a factor analysis algorithm based on dimensions of a user hour electricity consumption rule, an electricity consumption scale, electricity consumption conditions of different date types and an electric appliance use condition in model construction; 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step 2, based on the model construction result, analyzing and calculating power consumption data of various electrical appliances at 96 o'clock for continuous 3 months of the user, obtaining multiple types of feature grouping users, retaining high-similarity users, and obtaining different user types; step 3, obtaining feature groups of various users, locking different users, analyzing power consumption conditions of the different users, and summarizing power consumption features of the different users in combination w</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 HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Residential electricity consumption characteristic grouping model construction method |
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