Customer electricity consumption behavior characteristic analysis method based on classification analysis
The invention relates to a customer power consumption behavior characteristic analysis method based on classification analysis. The method comprises the following steps: step 1, establishing various user load characteristic indexes of a power user in various power consumption modes; 2, analyzing inf...
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 | SUN SHENGBO CUI WEI ZHANG KAI LI DEZHI BAI XINLEI DONG ZENGBO LI SHILIN LIU JIANHUA CHEN SONGSONG FENG JIAN CHEN KE GONG FEIXIANG |
description | The invention relates to a customer power consumption behavior characteristic analysis method based on classification analysis. The method comprises the following steps: step 1, establishing various user load characteristic indexes of a power user in various power consumption modes; 2, analyzing influence factors of the power consumption behavior patterns, and then extracting main influence factors of the power consumption behavior patterns of p users by utilizing a principal component analysis method; and step 3, carrying out customer power consumption behavior analysis based on a decision tree classification method. The method is fine in analysis result and high in accuracy, can go deep into the user level, and is beneficial to refinement of demand response strategy making.
本发明涉及一种基于分类分析的客户用电行为特征分析方法,包括以下步骤:步骤一建立电力用户在各种用电模式下的各项用户负荷特性指标;步骤二分析用电行为模式的影响因素,然后利用主成分分析法提取出p个用户用电行为模式的主要影响因素;步骤三基于决策树分类方法的客户用电行为分析。本发明方法分析结果精细,准确度高,能深入到用户层面,有利于需求响应策略制定的精细化。 |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN111126498A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN111126498A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN111126498A3</originalsourceid><addsrcrecordid>eNqNi7sKwkAQAK-xEPUf1g-w8IFoKUGxsrIPm82GW7hHuN0I-XuDaO8008zMnVSDWo5cgAOTFSGxESgnHWJvkhM07PEluQB5LEjGRdSEABOGUUUhsvncQoPKLUwDBVSVTgg__69bulmHQXn19cKtb9dndd9wn2vWHokTW109thO74-F8uuz_ad432kJO</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Customer electricity consumption behavior characteristic analysis method based on classification analysis</title><source>esp@cenet</source><creator>SUN SHENGBO ; CUI WEI ; ZHANG KAI ; LI DEZHI ; BAI XINLEI ; DONG ZENGBO ; LI SHILIN ; LIU JIANHUA ; CHEN SONGSONG ; FENG JIAN ; CHEN KE ; GONG FEIXIANG</creator><creatorcontrib>SUN SHENGBO ; CUI WEI ; ZHANG KAI ; LI DEZHI ; BAI XINLEI ; DONG ZENGBO ; LI SHILIN ; LIU JIANHUA ; CHEN SONGSONG ; FENG JIAN ; CHEN KE ; GONG FEIXIANG</creatorcontrib><description>The invention relates to a customer power consumption behavior characteristic analysis method based on classification analysis. The method comprises the following steps: step 1, establishing various user load characteristic indexes of a power user in various power consumption modes; 2, analyzing influence factors of the power consumption behavior patterns, and then extracting main influence factors of the power consumption behavior patterns of p users by utilizing a principal component analysis method; and step 3, carrying out customer power consumption behavior analysis based on a decision tree classification method. The method is fine in analysis result and high in accuracy, can go deep into the user level, and is beneficial to refinement of demand response strategy making.
本发明涉及一种基于分类分析的客户用电行为特征分析方法,包括以下步骤:步骤一建立电力用户在各种用电模式下的各项用户负荷特性指标;步骤二分析用电行为模式的影响因素,然后利用主成分分析法提取出p个用户用电行为模式的主要影响因素;步骤三基于决策树分类方法的客户用电行为分析。本发明方法分析结果精细,准确度高,能深入到用户层面,有利于需求响应策略制定的精细化。</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>2020</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=20200508&DB=EPODOC&CC=CN&NR=111126498A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200508&DB=EPODOC&CC=CN&NR=111126498A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SUN SHENGBO</creatorcontrib><creatorcontrib>CUI WEI</creatorcontrib><creatorcontrib>ZHANG KAI</creatorcontrib><creatorcontrib>LI DEZHI</creatorcontrib><creatorcontrib>BAI XINLEI</creatorcontrib><creatorcontrib>DONG ZENGBO</creatorcontrib><creatorcontrib>LI SHILIN</creatorcontrib><creatorcontrib>LIU JIANHUA</creatorcontrib><creatorcontrib>CHEN SONGSONG</creatorcontrib><creatorcontrib>FENG JIAN</creatorcontrib><creatorcontrib>CHEN KE</creatorcontrib><creatorcontrib>GONG FEIXIANG</creatorcontrib><title>Customer electricity consumption behavior characteristic analysis method based on classification analysis</title><description>The invention relates to a customer power consumption behavior characteristic analysis method based on classification analysis. The method comprises the following steps: step 1, establishing various user load characteristic indexes of a power user in various power consumption modes; 2, analyzing influence factors of the power consumption behavior patterns, and then extracting main influence factors of the power consumption behavior patterns of p users by utilizing a principal component analysis method; and step 3, carrying out customer power consumption behavior analysis based on a decision tree classification method. The method is fine in analysis result and high in accuracy, can go deep into the user level, and is beneficial to refinement of demand response strategy making.
本发明涉及一种基于分类分析的客户用电行为特征分析方法,包括以下步骤:步骤一建立电力用户在各种用电模式下的各项用户负荷特性指标;步骤二分析用电行为模式的影响因素,然后利用主成分分析法提取出p个用户用电行为模式的主要影响因素;步骤三基于决策树分类方法的客户用电行为分析。本发明方法分析结果精细,准确度高,能深入到用户层面,有利于需求响应策略制定的精细化。</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>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi7sKwkAQAK-xEPUf1g-w8IFoKUGxsrIPm82GW7hHuN0I-XuDaO8008zMnVSDWo5cgAOTFSGxESgnHWJvkhM07PEluQB5LEjGRdSEABOGUUUhsvncQoPKLUwDBVSVTgg__69bulmHQXn19cKtb9dndd9wn2vWHokTW109thO74-F8uuz_ad432kJO</recordid><startdate>20200508</startdate><enddate>20200508</enddate><creator>SUN SHENGBO</creator><creator>CUI WEI</creator><creator>ZHANG KAI</creator><creator>LI DEZHI</creator><creator>BAI XINLEI</creator><creator>DONG ZENGBO</creator><creator>LI SHILIN</creator><creator>LIU JIANHUA</creator><creator>CHEN SONGSONG</creator><creator>FENG JIAN</creator><creator>CHEN KE</creator><creator>GONG FEIXIANG</creator><scope>EVB</scope></search><sort><creationdate>20200508</creationdate><title>Customer electricity consumption behavior characteristic analysis method based on classification analysis</title><author>SUN SHENGBO ; CUI WEI ; ZHANG KAI ; LI DEZHI ; BAI XINLEI ; DONG ZENGBO ; LI SHILIN ; LIU JIANHUA ; CHEN SONGSONG ; FENG JIAN ; CHEN KE ; GONG FEIXIANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111126498A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</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>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</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>SUN SHENGBO</creatorcontrib><creatorcontrib>CUI WEI</creatorcontrib><creatorcontrib>ZHANG KAI</creatorcontrib><creatorcontrib>LI DEZHI</creatorcontrib><creatorcontrib>BAI XINLEI</creatorcontrib><creatorcontrib>DONG ZENGBO</creatorcontrib><creatorcontrib>LI SHILIN</creatorcontrib><creatorcontrib>LIU JIANHUA</creatorcontrib><creatorcontrib>CHEN SONGSONG</creatorcontrib><creatorcontrib>FENG JIAN</creatorcontrib><creatorcontrib>CHEN KE</creatorcontrib><creatorcontrib>GONG FEIXIANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SUN SHENGBO</au><au>CUI WEI</au><au>ZHANG KAI</au><au>LI DEZHI</au><au>BAI XINLEI</au><au>DONG ZENGBO</au><au>LI SHILIN</au><au>LIU JIANHUA</au><au>CHEN SONGSONG</au><au>FENG JIAN</au><au>CHEN KE</au><au>GONG FEIXIANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Customer electricity consumption behavior characteristic analysis method based on classification analysis</title><date>2020-05-08</date><risdate>2020</risdate><abstract>The invention relates to a customer power consumption behavior characteristic analysis method based on classification analysis. The method comprises the following steps: step 1, establishing various user load characteristic indexes of a power user in various power consumption modes; 2, analyzing influence factors of the power consumption behavior patterns, and then extracting main influence factors of the power consumption behavior patterns of p users by utilizing a principal component analysis method; and step 3, carrying out customer power consumption behavior analysis based on a decision tree classification method. The method is fine in analysis result and high in accuracy, can go deep into the user level, and is beneficial to refinement of demand response strategy making.
本发明涉及一种基于分类分析的客户用电行为特征分析方法,包括以下步骤:步骤一建立电力用户在各种用电模式下的各项用户负荷特性指标;步骤二分析用电行为模式的影响因素,然后利用主成分分析法提取出p个用户用电行为模式的主要影响因素;步骤三基于决策树分类方法的客户用电行为分析。本发明方法分析结果精细,准确度高,能深入到用户层面,有利于需求响应策略制定的精细化。</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN111126498A |
source | esp@cenet |
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 | Customer electricity consumption behavior characteristic analysis method based on classification analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T15%3A17%3A05IST&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=SUN%20SHENGBO&rft.date=2020-05-08&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN111126498A%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 |