Enterprise gas-related pollution discharge link production behavior prediction method based on equipment electricity consumption
The invention relates to an enterprise gas-related pollution discharge link production behavior prediction method based on equipment power consumption, belongs to the technical field of environment monitoring, and aims to solve the problem that the enterprise production behavior is difficult to accu...
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creator | LIU BAOXIAN SHEN XIU'E YANG YANYAN CHENG GANG JIN CHENGXIU ZHANG LIKUN WANG XIAOJU ZHANG LIN |
description | The invention relates to an enterprise gas-related pollution discharge link production behavior prediction method based on equipment power consumption, belongs to the technical field of environment monitoring, and aims to solve the problem that the enterprise production behavior is difficult to accurately predict in the prior art. The method comprises the following steps: acquiring an equipment electricity consumption training data set, wherein samples in the equipment electricity consumption training data set comprise equipment electricity consumption time sequence data; training an LSTM model based on the equipment power consumption training data set to obtain an equipment power consumption prediction model; acquiring power consumption time series data of each device in an enterprise, and inputting the power consumption time series data of the devices into the power consumption prediction model of the devices to obtain a power consumption data prediction result of the devices; summing the equipment power co |
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The method comprises the following steps: acquiring an equipment electricity consumption training data set, wherein samples in the equipment electricity consumption training data set comprise equipment electricity consumption time sequence data; training an LSTM model based on the equipment power consumption training data set to obtain an equipment power consumption prediction model; acquiring power consumption time series data of each device in an enterprise, and inputting the power consumption time series data of the devices into the power consumption prediction model of the devices to obtain a power consumption data prediction result of the devices; summing the equipment power co</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; 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=20240927&DB=EPODOC&CC=CN&NR=118710327A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240927&DB=EPODOC&CC=CN&NR=118710327A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIU BAOXIAN</creatorcontrib><creatorcontrib>SHEN XIU'E</creatorcontrib><creatorcontrib>YANG YANYAN</creatorcontrib><creatorcontrib>CHENG GANG</creatorcontrib><creatorcontrib>JIN CHENGXIU</creatorcontrib><creatorcontrib>ZHANG LIKUN</creatorcontrib><creatorcontrib>WANG XIAOJU</creatorcontrib><creatorcontrib>ZHANG LIN</creatorcontrib><title>Enterprise gas-related pollution discharge link production behavior prediction method based on equipment electricity consumption</title><description>The invention relates to an enterprise gas-related pollution discharge link production behavior prediction method based on equipment power consumption, belongs to the technical field of environment monitoring, and aims to solve the problem that the enterprise production behavior is difficult to accurately predict in the prior art. The method comprises the following steps: acquiring an equipment electricity consumption training data set, wherein samples in the equipment electricity consumption training data set comprise equipment electricity consumption time sequence data; training an LSTM model based on the equipment power consumption training data set to obtain an equipment power consumption prediction model; acquiring power consumption time series data of each device in an enterprise, and inputting the power consumption time series data of the devices into the power consumption prediction model of the devices to obtain a power consumption data prediction result of the devices; summing the equipment power co</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>eNqNjDkOwjAURNNQIOAO5gCRCClCi6IgKir6yLGH5AvHNvY3Eh1HJywHoBrNm2WePRvLCD5QhOhlzAOMZGjhnTGJyVmhKapBhh7CkL0KH5xO6pN0GOSdXJgYNH3ZCB6cFp2M08nkcUvkR1gWMFAcSBE_hHI2ptG_F8tsdpEmYvXTRbY-NOf6mMO7FtFLBQtu61NR7KpiU26rfflP5wU2f0sI</recordid><startdate>20240927</startdate><enddate>20240927</enddate><creator>LIU BAOXIAN</creator><creator>SHEN XIU'E</creator><creator>YANG YANYAN</creator><creator>CHENG GANG</creator><creator>JIN CHENGXIU</creator><creator>ZHANG LIKUN</creator><creator>WANG XIAOJU</creator><creator>ZHANG LIN</creator><scope>EVB</scope></search><sort><creationdate>20240927</creationdate><title>Enterprise gas-related pollution discharge link production behavior prediction method based on equipment electricity consumption</title><author>LIU BAOXIAN ; SHEN XIU'E ; YANG YANYAN ; CHENG GANG ; JIN CHENGXIU ; ZHANG LIKUN ; WANG XIAOJU ; ZHANG LIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118710327A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</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>LIU BAOXIAN</creatorcontrib><creatorcontrib>SHEN XIU'E</creatorcontrib><creatorcontrib>YANG YANYAN</creatorcontrib><creatorcontrib>CHENG GANG</creatorcontrib><creatorcontrib>JIN CHENGXIU</creatorcontrib><creatorcontrib>ZHANG LIKUN</creatorcontrib><creatorcontrib>WANG XIAOJU</creatorcontrib><creatorcontrib>ZHANG LIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIU BAOXIAN</au><au>SHEN XIU'E</au><au>YANG YANYAN</au><au>CHENG GANG</au><au>JIN CHENGXIU</au><au>ZHANG LIKUN</au><au>WANG XIAOJU</au><au>ZHANG LIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Enterprise gas-related pollution discharge link production behavior prediction method based on equipment electricity consumption</title><date>2024-09-27</date><risdate>2024</risdate><abstract>The invention relates to an enterprise gas-related pollution discharge link production behavior prediction method based on equipment power consumption, belongs to the technical field of environment monitoring, and aims to solve the problem that the enterprise production behavior is difficult to accurately predict in the prior art. The method comprises the following steps: acquiring an equipment electricity consumption training data set, wherein samples in the equipment electricity consumption training data set comprise equipment electricity consumption time sequence data; training an LSTM model based on the equipment power consumption training data set to obtain an equipment power consumption prediction model; acquiring power consumption time series data of each device in an enterprise, and inputting the power consumption time series data of the devices into the power consumption prediction model of the devices to obtain a power consumption data prediction result of the devices; summing the equipment power co</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS 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 | Enterprise gas-related pollution discharge link production behavior prediction method based on equipment electricity consumption |
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