Load prediction method and load prediction system based on general distribution
The invention discloses a load prediction method and prediction system based on general distribution, and aims to realize short-term load power prediction of a power system. According to the method, historical meteorological information data and electrical data are combined, and corresponding statis...
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 | ZHOU LI QIAN YILIN TONG CHONG SHEN YUN YANG HAO LU FENG LIAO SIYANG BAI XIAOFEI MAI JINWEN LI HETING HUA XIA XU JIAN WU DI XIANG MIN DONG TIAN WANG DAN TAO YEWEI |
| description | The invention discloses a load prediction method and prediction system based on general distribution, and aims to realize short-term load power prediction of a power system. According to the method, historical meteorological information data and electrical data are combined, and corresponding statistical analysis models are constructed for different temperature increment levels. Firstly, a histogram model is adopted to approximately represent actual distribution, then a proper model is selected to fit the actual distribution, a universal distribution function model is adopted to fit, and a confidence interval of predicted power under a certain confidence level is obtained according to a closed analytical expression of an inverse function of a universal distribution CDF function.
一种基于通用分布的负荷预测方法及预测系统，以实现电力系统短期负荷功率预测。该方法将历史气象信息数据和电气数据相结合，针对不同的温度增量水平分别构建相应的统计分析模型。首先采用直方图模型来近似表征实际分布，然后选取适当的模型对实际分布进行拟合，本文采用通用分布函数模型进行拟合，并且依据通用分布CDF函数的逆函数的闭合解析表达式，得出一定置信水平下预测功率的置信区间。 |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN111552923A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN111552923A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN111552923A3</originalsourceid><addsrcrecordid>eNrjZPD3yU9MUSgoSk3JTC7JzM9TyE0tychPUUjMS1HIQZMqriwuSc1VSEosTk1RAPLTU_NSixJzFFIyi0uKMpNKQYp4GFjTEnOKU3mhNDeDoptriLOHbmpBfnxqcUFiMlBTSbyzn6GhoampkaWRsaMxMWoAZ703JQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Load prediction method and load prediction system based on general distribution</title><source>esp@cenet</source><creator>ZHOU LI ; QIAN YILIN ; TONG CHONG ; SHEN YUN ; YANG HAO ; LU FENG ; LIAO SIYANG ; BAI XIAOFEI ; MAI JINWEN ; LI HETING ; HUA XIA ; XU JIAN ; WU DI ; XIANG MIN ; DONG TIAN ; WANG DAN ; TAO YEWEI</creator><creatorcontrib>ZHOU LI ; QIAN YILIN ; TONG CHONG ; SHEN YUN ; YANG HAO ; LU FENG ; LIAO SIYANG ; BAI XIAOFEI ; MAI JINWEN ; LI HETING ; HUA XIA ; XU JIAN ; WU DI ; XIANG MIN ; DONG TIAN ; WANG DAN ; TAO YEWEI</creatorcontrib><description>The invention discloses a load prediction method and prediction system based on general distribution, and aims to realize short-term load power prediction of a power system. According to the method, historical meteorological information data and electrical data are combined, and corresponding statistical analysis models are constructed for different temperature increment levels. Firstly, a histogram model is adopted to approximately represent actual distribution, then a proper model is selected to fit the actual distribution, a universal distribution function model is adopted to fit, and a confidence interval of predicted power under a certain confidence level is obtained according to a closed analytical expression of an inverse function of a universal distribution CDF function.
一种基于通用分布的负荷预测方法及预测系统，以实现电力系统短期负荷功率预测。该方法将历史气象信息数据和电气数据相结合，针对不同的温度增量水平分别构建相应的统计分析模型。首先采用直方图模型来近似表征实际分布，然后选取适当的模型对实际分布进行拟合，本文采用通用分布函数模型进行拟合，并且依据通用分布CDF函数的逆函数的闭合解析表达式，得出一定置信水平下预测功率的置信区间。</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>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=20200818&DB=EPODOC&CC=CN&NR=111552923A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200818&DB=EPODOC&CC=CN&NR=111552923A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHOU LI</creatorcontrib><creatorcontrib>QIAN YILIN</creatorcontrib><creatorcontrib>TONG CHONG</creatorcontrib><creatorcontrib>SHEN YUN</creatorcontrib><creatorcontrib>YANG HAO</creatorcontrib><creatorcontrib>LU FENG</creatorcontrib><creatorcontrib>LIAO SIYANG</creatorcontrib><creatorcontrib>BAI XIAOFEI</creatorcontrib><creatorcontrib>MAI JINWEN</creatorcontrib><creatorcontrib>LI HETING</creatorcontrib><creatorcontrib>HUA XIA</creatorcontrib><creatorcontrib>XU JIAN</creatorcontrib><creatorcontrib>WU DI</creatorcontrib><creatorcontrib>XIANG MIN</creatorcontrib><creatorcontrib>DONG TIAN</creatorcontrib><creatorcontrib>WANG DAN</creatorcontrib><creatorcontrib>TAO YEWEI</creatorcontrib><title>Load prediction method and load prediction system based on general distribution</title><description>The invention discloses a load prediction method and prediction system based on general distribution, and aims to realize short-term load power prediction of a power system. According to the method, historical meteorological information data and electrical data are combined, and corresponding statistical analysis models are constructed for different temperature increment levels. Firstly, a histogram model is adopted to approximately represent actual distribution, then a proper model is selected to fit the actual distribution, a universal distribution function model is adopted to fit, and a confidence interval of predicted power under a certain confidence level is obtained according to a closed analytical expression of an inverse function of a universal distribution CDF function.
一种基于通用分布的负荷预测方法及预测系统，以实现电力系统短期负荷功率预测。该方法将历史气象信息数据和电气数据相结合，针对不同的温度增量水平分别构建相应的统计分析模型。首先采用直方图模型来近似表征实际分布，然后选取适当的模型对实际分布进行拟合，本文采用通用分布函数模型进行拟合，并且依据通用分布CDF函数的逆函数的闭合解析表达式，得出一定置信水平下预测功率的置信区间。</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD3yU9MUSgoSk3JTC7JzM9TyE0tychPUUjMS1HIQZMqriwuSc1VSEosTk1RAPLTU_NSixJzFFIyi0uKMpNKQYp4GFjTEnOKU3mhNDeDoptriLOHbmpBfnxqcUFiMlBTSbyzn6GhoampkaWRsaMxMWoAZ703JQ</recordid><startdate>20200818</startdate><enddate>20200818</enddate><creator>ZHOU LI</creator><creator>QIAN YILIN</creator><creator>TONG CHONG</creator><creator>SHEN YUN</creator><creator>YANG HAO</creator><creator>LU FENG</creator><creator>LIAO SIYANG</creator><creator>BAI XIAOFEI</creator><creator>MAI JINWEN</creator><creator>LI HETING</creator><creator>HUA XIA</creator><creator>XU JIAN</creator><creator>WU DI</creator><creator>XIANG MIN</creator><creator>DONG TIAN</creator><creator>WANG DAN</creator><creator>TAO YEWEI</creator><scope>EVB</scope></search><sort><creationdate>20200818</creationdate><title>Load prediction method and load prediction system based on general distribution</title><author>ZHOU LI ; QIAN YILIN ; TONG CHONG ; SHEN YUN ; YANG HAO ; LU FENG ; LIAO SIYANG ; BAI XIAOFEI ; MAI JINWEN ; LI HETING ; HUA XIA ; XU JIAN ; WU DI ; XIANG MIN ; DONG TIAN ; WANG DAN ; TAO YEWEI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111552923A3</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>ELECTRIC DIGITAL DATA PROCESSING</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>ZHOU LI</creatorcontrib><creatorcontrib>QIAN YILIN</creatorcontrib><creatorcontrib>TONG CHONG</creatorcontrib><creatorcontrib>SHEN YUN</creatorcontrib><creatorcontrib>YANG HAO</creatorcontrib><creatorcontrib>LU FENG</creatorcontrib><creatorcontrib>LIAO SIYANG</creatorcontrib><creatorcontrib>BAI XIAOFEI</creatorcontrib><creatorcontrib>MAI JINWEN</creatorcontrib><creatorcontrib>LI HETING</creatorcontrib><creatorcontrib>HUA XIA</creatorcontrib><creatorcontrib>XU JIAN</creatorcontrib><creatorcontrib>WU DI</creatorcontrib><creatorcontrib>XIANG MIN</creatorcontrib><creatorcontrib>DONG TIAN</creatorcontrib><creatorcontrib>WANG DAN</creatorcontrib><creatorcontrib>TAO YEWEI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHOU LI</au><au>QIAN YILIN</au><au>TONG CHONG</au><au>SHEN YUN</au><au>YANG HAO</au><au>LU FENG</au><au>LIAO SIYANG</au><au>BAI XIAOFEI</au><au>MAI JINWEN</au><au>LI HETING</au><au>HUA XIA</au><au>XU JIAN</au><au>WU DI</au><au>XIANG MIN</au><au>DONG TIAN</au><au>WANG DAN</au><au>TAO YEWEI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Load prediction method and load prediction system based on general distribution</title><date>2020-08-18</date><risdate>2020</risdate><abstract>The invention discloses a load prediction method and prediction system based on general distribution, and aims to realize short-term load power prediction of a power system. According to the method, historical meteorological information data and electrical data are combined, and corresponding statistical analysis models are constructed for different temperature increment levels. Firstly, a histogram model is adopted to approximately represent actual distribution, then a proper model is selected to fit the actual distribution, a universal distribution function model is adopted to fit, and a confidence interval of predicted power under a certain confidence level is obtained according to a closed analytical expression of an inverse function of a universal distribution CDF function.
一种基于通用分布的负荷预测方法及预测系统，以实现电力系统短期负荷功率预测。该方法将历史气象信息数据和电气数据相结合，针对不同的温度增量水平分别构建相应的统计分析模型。首先采用直方图模型来近似表征实际分布，然后选取适当的模型对实际分布进行拟合，本文采用通用分布函数模型进行拟合，并且依据通用分布CDF函数的逆函数的闭合解析表达式，得出一定置信水平下预测功率的置信区间。</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN111552923A |
| source | esp@cenet |
| 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 | Load prediction method and load prediction system based on general distribution |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T23%3A48%3A58IST&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=ZHOU%20LI&rft.date=2020-08-18&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN111552923A%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 |