Short-term load prediction and restoration method based on historical load data

The invention discloses a short-term load prediction and restoration method based on historical load data, and the method comprises the steps: carrying out the data preprocessing of a historical load data set, and obtaining a preprocessed historical load data set; performing feature extraction proce...

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Hauptverfasser:	WU KETING, PENG HUI, ZHOU XIANQIAN, LIN DIANMIN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	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
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creator	WU KETING PENG HUI ZHOU XIANQIAN LIN DIANMIN
description	The invention discloses a short-term load prediction and restoration method based on historical load data, and the method comprises the steps: carrying out the data preprocessing of a historical load data set, and obtaining a preprocessed historical load data set; performing feature extraction processing on the preprocessed historical load data set through a depth auto-encoder to obtain a reconstructed data set; performing load prediction on the reconstructed data set through a Stacking integration model to obtain a prediction value; and repairing the historical load data set according to the predicted value to obtain a repaired historical load data set. According to the invention, the detection precision of the abnormal load data can be improved by accurately extracting the potential features of the historical load data. The short-term load prediction and restoration method based on the historical load data can be widely applied to the technical field of power load data mining. 本发明公开了一种基于历史负荷数据的短期负荷预测与修复方法，该
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According to the invention, the detection precision of the abnormal load data can be improved by accurately extracting the potential features of the historical load data. The short-term load prediction and restoration method based on the historical load data can be widely applied to the technical field of power load data mining. 本发明公开了一种基于历史负荷数据的短期负荷预测与修复方法，该</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>2023</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=20230103&DB=EPODOC&CC=CN&NR=115563877A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230103&DB=EPODOC&CC=CN&NR=115563877A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WU KETING</creatorcontrib><creatorcontrib>PENG HUI</creatorcontrib><creatorcontrib>ZHOU XIANQIAN</creatorcontrib><creatorcontrib>LIN DIANMIN</creatorcontrib><title>Short-term load prediction and restoration method based on historical load data</title><description>The invention discloses a short-term load prediction and restoration method based on historical load data, and the method comprises the steps: carrying out the data preprocessing of a historical load data set, and obtaining a preprocessed historical load data set; performing feature extraction processing on the preprocessed historical load data set through a depth auto-encoder to obtain a reconstructed data set; performing load prediction on the reconstructed data set through a Stacking integration model to obtain a prediction value; and repairing the historical load data set according to the predicted value to obtain a repaired historical load data set. According to the invention, the detection precision of the abnormal load data can be improved by accurately extracting the potential features of the historical load data. The short-term load prediction and restoration method based on the historical load data can be widely applied to the technical field of power load data mining. 本发明公开了一种基于历史负荷数据的短期负荷预测与修复方法，该</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPAPzsgvKtEtSS3KVcjJT0xRKChKTclMLsnMz1NIzEtRKEotLskvSgTzc1NLMvJTFJISi1NTFID8jEyQXGZyYg5Ea0piSSIPA2taYk5xKi-U5mZQdHMNcfbQTS3Ij08tLkhMTs1LLYl39jM0NDU1M7YwN3c0JkYNAGUtNwg</recordid><startdate>20230103</startdate><enddate>20230103</enddate><creator>WU KETING</creator><creator>PENG HUI</creator><creator>ZHOU XIANQIAN</creator><creator>LIN DIANMIN</creator><scope>EVB</scope></search><sort><creationdate>20230103</creationdate><title>Short-term load prediction and restoration method based on historical load data</title><author>WU KETING ; PENG HUI ; ZHOU XIANQIAN ; LIN DIANMIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115563877A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</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>WU KETING</creatorcontrib><creatorcontrib>PENG HUI</creatorcontrib><creatorcontrib>ZHOU XIANQIAN</creatorcontrib><creatorcontrib>LIN DIANMIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WU KETING</au><au>PENG HUI</au><au>ZHOU XIANQIAN</au><au>LIN DIANMIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Short-term load prediction and restoration method based on historical load data</title><date>2023-01-03</date><risdate>2023</risdate><abstract>The invention discloses a short-term load prediction and restoration method based on historical load data, and the method comprises the steps: carrying out the data preprocessing of a historical load data set, and obtaining a preprocessed historical load data set; performing feature extraction processing on the preprocessed historical load data set through a depth auto-encoder to obtain a reconstructed data set; performing load prediction on the reconstructed data set through a Stacking integration model to obtain a prediction value; and repairing the historical load data set according to the predicted value to obtain a repaired historical load data set. According to the invention, the detection precision of the abnormal load data can be improved by accurately extracting the potential features of the historical load data. The short-term load prediction and restoration method based on the historical load data can be widely applied to the technical field of power load data mining. 本发明公开了一种基于历史负荷数据的短期负荷预测与修复方法，该</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	Short-term load prediction and restoration method based on historical load data
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