Electricity charge recovery management method based on user behavior analysis
The invention relates to the field of electricity charge management, in particular to an electricity charge recovery management method based on user behavior analysis, which comprises the following steps: collecting user electricity consumption data through intelligent electric meter equipment, tran...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | HUANG DAN PENG XINYU CHANG LE CAO YOUXIA YU DUNWEI JEONG KANG-JIN NI YANYAN SUN WEIHONG FENG YIQUN SONG YINGDONG HUANG HUASHENG DUAN YUQING ZHANG YING LU RENJIE WU LINGLING LI ZHONGQING ZHUANG LEI LIU HUIZHOU LI CHENXI GU ZHIJIE LI SHAOFEI WANG MING |
description | The invention relates to the field of electricity charge management, in particular to an electricity charge recovery management method based on user behavior analysis, which comprises the following steps: collecting user electricity consumption data through intelligent electric meter equipment, transmitting the data to a background server for storage and analysis, and according to the obtained user electricity consumption data information, collecting the electricity consumption data; establishing a user power consumption prediction neural network model; the relationship between the user behavior and the user power consumption prediction is monitored by combining the self-adaptive network with the relationship between the user behavior and the user power consumption prediction and introducing an attention mechanism optimization algorithm; and according to a monitoring result, different electric charge recovery strategies are adopted for different users, a user electric charge recovery evaluation model is estab |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118485471A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118485471A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118485471A3</originalsourceid><addsrcrecordid>eNqNyr0KwjAUBtAuDqK-w_UBHIIVu0qpuOjkXm7TzyaQn3ITC3l7HXwAp7OcdXXvHHQWq20upA3LBBLouEAKeQ48wSNk8sgmjjRwwkgx0DtBaIDhxUah73Ml2bStVi92Cbufm2p_7Z7t7YA59kgzawTkvn0o1dTNqT6ry_Gf8wEUMTap</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Electricity charge recovery management method based on user behavior analysis</title><source>esp@cenet</source><creator>HUANG DAN ; PENG XINYU ; CHANG LE ; CAO YOUXIA ; YU DUNWEI ; JEONG KANG-JIN ; NI YANYAN ; SUN WEIHONG ; FENG YIQUN ; SONG YINGDONG ; HUANG HUASHENG ; DUAN YUQING ; ZHANG YING ; LU RENJIE ; WU LINGLING ; LI ZHONGQING ; ZHUANG LEI ; LIU HUIZHOU ; LI CHENXI ; GU ZHIJIE ; LI SHAOFEI ; WANG MING</creator><creatorcontrib>HUANG DAN ; PENG XINYU ; CHANG LE ; CAO YOUXIA ; YU DUNWEI ; JEONG KANG-JIN ; NI YANYAN ; SUN WEIHONG ; FENG YIQUN ; SONG YINGDONG ; HUANG HUASHENG ; DUAN YUQING ; ZHANG YING ; LU RENJIE ; WU LINGLING ; LI ZHONGQING ; ZHUANG LEI ; LIU HUIZHOU ; LI CHENXI ; GU ZHIJIE ; LI SHAOFEI ; WANG MING</creatorcontrib><description>The invention relates to the field of electricity charge management, in particular to an electricity charge recovery management method based on user behavior analysis, which comprises the following steps: collecting user electricity consumption data through intelligent electric meter equipment, transmitting the data to a background server for storage and analysis, and according to the obtained user electricity consumption data information, collecting the electricity consumption data; establishing a user power consumption prediction neural network model; the relationship between the user behavior and the user power consumption prediction is monitored by combining the self-adaptive network with the relationship between the user behavior and the user power consumption prediction and introducing an attention mechanism optimization algorithm; and according to a monitoring result, different electric charge recovery strategies are adopted for different users, a user electric charge recovery evaluation model is estab</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; 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=20240813&DB=EPODOC&CC=CN&NR=118485471A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240813&DB=EPODOC&CC=CN&NR=118485471A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HUANG DAN</creatorcontrib><creatorcontrib>PENG XINYU</creatorcontrib><creatorcontrib>CHANG LE</creatorcontrib><creatorcontrib>CAO YOUXIA</creatorcontrib><creatorcontrib>YU DUNWEI</creatorcontrib><creatorcontrib>JEONG KANG-JIN</creatorcontrib><creatorcontrib>NI YANYAN</creatorcontrib><creatorcontrib>SUN WEIHONG</creatorcontrib><creatorcontrib>FENG YIQUN</creatorcontrib><creatorcontrib>SONG YINGDONG</creatorcontrib><creatorcontrib>HUANG HUASHENG</creatorcontrib><creatorcontrib>DUAN YUQING</creatorcontrib><creatorcontrib>ZHANG YING</creatorcontrib><creatorcontrib>LU RENJIE</creatorcontrib><creatorcontrib>WU LINGLING</creatorcontrib><creatorcontrib>LI ZHONGQING</creatorcontrib><creatorcontrib>ZHUANG LEI</creatorcontrib><creatorcontrib>LIU HUIZHOU</creatorcontrib><creatorcontrib>LI CHENXI</creatorcontrib><creatorcontrib>GU ZHIJIE</creatorcontrib><creatorcontrib>LI SHAOFEI</creatorcontrib><creatorcontrib>WANG MING</creatorcontrib><title>Electricity charge recovery management method based on user behavior analysis</title><description>The invention relates to the field of electricity charge management, in particular to an electricity charge recovery management method based on user behavior analysis, which comprises the following steps: collecting user electricity consumption data through intelligent electric meter equipment, transmitting the data to a background server for storage and analysis, and according to the obtained user electricity consumption data information, collecting the electricity consumption data; establishing a user power consumption prediction neural network model; the relationship between the user behavior and the user power consumption prediction is monitored by combining the self-adaptive network with the relationship between the user behavior and the user power consumption prediction and introducing an attention mechanism optimization algorithm; and according to a monitoring result, different electric charge recovery strategies are adopted for different users, a user electric charge recovery evaluation model is estab</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>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>eNqNyr0KwjAUBtAuDqK-w_UBHIIVu0qpuOjkXm7TzyaQn3ITC3l7HXwAp7OcdXXvHHQWq20upA3LBBLouEAKeQ48wSNk8sgmjjRwwkgx0DtBaIDhxUah73Ml2bStVi92Cbufm2p_7Z7t7YA59kgzawTkvn0o1dTNqT6ry_Gf8wEUMTap</recordid><startdate>20240813</startdate><enddate>20240813</enddate><creator>HUANG DAN</creator><creator>PENG XINYU</creator><creator>CHANG LE</creator><creator>CAO YOUXIA</creator><creator>YU DUNWEI</creator><creator>JEONG KANG-JIN</creator><creator>NI YANYAN</creator><creator>SUN WEIHONG</creator><creator>FENG YIQUN</creator><creator>SONG YINGDONG</creator><creator>HUANG HUASHENG</creator><creator>DUAN YUQING</creator><creator>ZHANG YING</creator><creator>LU RENJIE</creator><creator>WU LINGLING</creator><creator>LI ZHONGQING</creator><creator>ZHUANG LEI</creator><creator>LIU HUIZHOU</creator><creator>LI CHENXI</creator><creator>GU ZHIJIE</creator><creator>LI SHAOFEI</creator><creator>WANG MING</creator><scope>EVB</scope></search><sort><creationdate>20240813</creationdate><title>Electricity charge recovery management method based on user behavior analysis</title><author>HUANG DAN ; PENG XINYU ; CHANG LE ; CAO YOUXIA ; YU DUNWEI ; JEONG KANG-JIN ; NI YANYAN ; SUN WEIHONG ; FENG YIQUN ; SONG YINGDONG ; HUANG HUASHENG ; DUAN YUQING ; ZHANG YING ; LU RENJIE ; WU LINGLING ; LI ZHONGQING ; ZHUANG LEI ; LIU HUIZHOU ; LI CHENXI ; GU ZHIJIE ; LI SHAOFEI ; WANG MING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118485471A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>HUANG DAN</creatorcontrib><creatorcontrib>PENG XINYU</creatorcontrib><creatorcontrib>CHANG LE</creatorcontrib><creatorcontrib>CAO YOUXIA</creatorcontrib><creatorcontrib>YU DUNWEI</creatorcontrib><creatorcontrib>JEONG KANG-JIN</creatorcontrib><creatorcontrib>NI YANYAN</creatorcontrib><creatorcontrib>SUN WEIHONG</creatorcontrib><creatorcontrib>FENG YIQUN</creatorcontrib><creatorcontrib>SONG YINGDONG</creatorcontrib><creatorcontrib>HUANG HUASHENG</creatorcontrib><creatorcontrib>DUAN YUQING</creatorcontrib><creatorcontrib>ZHANG YING</creatorcontrib><creatorcontrib>LU RENJIE</creatorcontrib><creatorcontrib>WU LINGLING</creatorcontrib><creatorcontrib>LI ZHONGQING</creatorcontrib><creatorcontrib>ZHUANG LEI</creatorcontrib><creatorcontrib>LIU HUIZHOU</creatorcontrib><creatorcontrib>LI CHENXI</creatorcontrib><creatorcontrib>GU ZHIJIE</creatorcontrib><creatorcontrib>LI SHAOFEI</creatorcontrib><creatorcontrib>WANG MING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUANG DAN</au><au>PENG XINYU</au><au>CHANG LE</au><au>CAO YOUXIA</au><au>YU DUNWEI</au><au>JEONG KANG-JIN</au><au>NI YANYAN</au><au>SUN WEIHONG</au><au>FENG YIQUN</au><au>SONG YINGDONG</au><au>HUANG HUASHENG</au><au>DUAN YUQING</au><au>ZHANG YING</au><au>LU RENJIE</au><au>WU LINGLING</au><au>LI ZHONGQING</au><au>ZHUANG LEI</au><au>LIU HUIZHOU</au><au>LI CHENXI</au><au>GU ZHIJIE</au><au>LI SHAOFEI</au><au>WANG MING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Electricity charge recovery management method based on user behavior analysis</title><date>2024-08-13</date><risdate>2024</risdate><abstract>The invention relates to the field of electricity charge management, in particular to an electricity charge recovery management method based on user behavior analysis, which comprises the following steps: collecting user electricity consumption data through intelligent electric meter equipment, transmitting the data to a background server for storage and analysis, and according to the obtained user electricity consumption data information, collecting the electricity consumption data; establishing a user power consumption prediction neural network model; the relationship between the user behavior and the user power consumption prediction is monitored by combining the self-adaptive network with the relationship between the user behavior and the user power consumption prediction and introducing an attention mechanism optimization algorithm; and according to a monitoring result, different electric charge recovery strategies are adopted for different users, a user electric charge recovery evaluation model is estab</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN118485471A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Electricity charge recovery management method based on user behavior analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T08%3A36%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=HUANG%20DAN&rft.date=2024-08-13&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118485471A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |