Power system partition load demand prediction method, system and device and storage medium
The invention discloses a power system partition load demand prediction method, system and device and a storage medium, and the method comprises the steps: collecting historical load demand data and real-time operation data of each partition of a power system according to a pre-established power sys...
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| creator | XU DAN YUAN MUCHEN DING QIANG LIU PENG CUI HUI HUANG GUODONG SU MINGYU LI BO MA JIAJUN LI LIXIN HU XIAOJING LI LINGHAO CAI ZHI XU XIAOTONG XU SHENGNAN ZHANG SHUYAN CHANG JIANG DAI SAI ZHANG RUIWEN WANG LEI QU FUMIN LI YUXUAN HAN BIN XU XIAO YANG ZHANYONG ZHANG JIALI LI JINGSONG LU YI YAN JINGHUA LI ZHE ZHANG CHUANCHENG HU CHENXU YAN CUIHUI SHENG CANHUI YANG XIAONAN LI YUANYUAN LI WEIGANG |
| description | The invention discloses a power system partition load demand prediction method, system and device and a storage medium, and the method comprises the steps: collecting historical load demand data and real-time operation data of each partition of a power system according to a pre-established power system partition load model, carrying out the data preprocessing, and obtaining a training data set and a test data set; training the long-short-term memory network model by using the training data set to obtain a partition load demand prediction model; inputting the test data set into the partition load demand prediction model, and calculating to obtain a future load prediction value of each power system partition; and evaluating the calculated future load prediction value of each power system partition, adjusting related parameters of the power system partition load model and the partition load demand prediction model and a power system partition scheme according to an evaluation result, and solving to obtain a powe |
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WANG LEI ; QU FUMIN ; LI YUXUAN ; HAN BIN ; XU XIAO ; YANG ZHANYONG ; ZHANG JIALI ; LI JINGSONG ; LU YI ; YAN JINGHUA ; LI ZHE ; ZHANG CHUANCHENG ; HU CHENXU ; YAN CUIHUI ; SHENG CANHUI ; YANG XIAONAN ; LI YUANYUAN ; LI WEIGANG</creator><creatorcontrib>XU DAN ; YUAN MUCHEN ; DING QIANG ; LIU PENG ; CUI HUI ; HUANG GUODONG ; SU MINGYU ; LI BO ; MA JIAJUN ; LI LIXIN ; HU XIAOJING ; LI LINGHAO ; CAI ZHI ; XU XIAOTONG ; XU SHENGNAN ; ZHANG SHUYAN ; CHANG JIANG ; DAI SAI ; ZHANG RUIWEN ; WANG LEI ; QU FUMIN ; LI YUXUAN ; HAN BIN ; XU XIAO ; YANG ZHANYONG ; ZHANG JIALI ; LI JINGSONG ; LU YI ; YAN JINGHUA ; LI ZHE ; ZHANG CHUANCHENG ; HU CHENXU ; YAN CUIHUI ; SHENG CANHUI ; YANG XIAONAN ; LI YUANYUAN ; LI WEIGANG</creatorcontrib><description>The invention discloses a power system partition load demand prediction method, system and device and a storage medium, and the method comprises the steps: collecting historical load demand data and real-time operation data of each partition of a power system according to a pre-established power system partition load model, carrying out the data preprocessing, and obtaining a training data set and a test data set; training the long-short-term memory network model by using the training data set to obtain a partition load demand prediction model; inputting the test data set into the partition load demand prediction model, and calculating to obtain a future load prediction value of each power system partition; and evaluating the calculated future load prediction value of each power system partition, adjusting related parameters of the power system partition load model and the partition load demand prediction model and a power system partition scheme according to an evaluation result, and solving to obtain a powe</description><language>chi ; eng</language><subject>CALCULATING ; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRICITY ; GENERATION ; PHYSICS ; SYSTEMS FOR STORING ELECTRIC ENERGY ; 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=20240315&DB=EPODOC&CC=CN&NR=117713084A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240315&DB=EPODOC&CC=CN&NR=117713084A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XU DAN</creatorcontrib><creatorcontrib>YUAN MUCHEN</creatorcontrib><creatorcontrib>DING QIANG</creatorcontrib><creatorcontrib>LIU PENG</creatorcontrib><creatorcontrib>CUI HUI</creatorcontrib><creatorcontrib>HUANG GUODONG</creatorcontrib><creatorcontrib>SU MINGYU</creatorcontrib><creatorcontrib>LI BO</creatorcontrib><creatorcontrib>MA JIAJUN</creatorcontrib><creatorcontrib>LI LIXIN</creatorcontrib><creatorcontrib>HU XIAOJING</creatorcontrib><creatorcontrib>LI LINGHAO</creatorcontrib><creatorcontrib>CAI ZHI</creatorcontrib><creatorcontrib>XU XIAOTONG</creatorcontrib><creatorcontrib>XU SHENGNAN</creatorcontrib><creatorcontrib>ZHANG SHUYAN</creatorcontrib><creatorcontrib>CHANG JIANG</creatorcontrib><creatorcontrib>DAI SAI</creatorcontrib><creatorcontrib>ZHANG RUIWEN</creatorcontrib><creatorcontrib>WANG LEI</creatorcontrib><creatorcontrib>QU FUMIN</creatorcontrib><creatorcontrib>LI YUXUAN</creatorcontrib><creatorcontrib>HAN BIN</creatorcontrib><creatorcontrib>XU XIAO</creatorcontrib><creatorcontrib>YANG ZHANYONG</creatorcontrib><creatorcontrib>ZHANG JIALI</creatorcontrib><creatorcontrib>LI JINGSONG</creatorcontrib><creatorcontrib>LU YI</creatorcontrib><creatorcontrib>YAN JINGHUA</creatorcontrib><creatorcontrib>LI ZHE</creatorcontrib><creatorcontrib>ZHANG CHUANCHENG</creatorcontrib><creatorcontrib>HU CHENXU</creatorcontrib><creatorcontrib>YAN CUIHUI</creatorcontrib><creatorcontrib>SHENG CANHUI</creatorcontrib><creatorcontrib>YANG XIAONAN</creatorcontrib><creatorcontrib>LI YUANYUAN</creatorcontrib><creatorcontrib>LI WEIGANG</creatorcontrib><title>Power system partition load demand prediction method, system and device and storage medium</title><description>The invention discloses a power system partition load demand prediction method, system and device and a storage medium, and the method comprises the steps: collecting historical load demand data and real-time operation data of each partition of a power system according to a pre-established power system partition load model, carrying out the data preprocessing, and obtaining a training data set and a test data set; training the long-short-term memory network model by using the training data set to obtain a partition load demand prediction model; inputting the test data set into the partition load demand prediction model, and calculating to obtain a future load prediction value of each power system partition; and evaluating the calculated future load prediction value of each power system partition, adjusting related parameters of the power system partition load model and the partition load demand prediction model and a power system partition scheme according to an evaluation result, and solving to obtain a powe</description><subject>CALCULATING</subject><subject>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRICITY</subject><subject>GENERATION</subject><subject>PHYSICS</subject><subject>SYSTEMS FOR STORING ELECTRIC ENERGY</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>eNrjZIgKyC9PLVIoriwuSc1VKEgsKsksyczPU8jJT0xRSEnNTcxLUSgoSk3JTAYL56aWZOSn6MDUg2RTUssyk1PBzOKS_KLE9FSgqpTM0lweBta0xJziVF4ozc2g6OYa4uyhm1qQH59aXJCYnJqXWhLv7GdoaG5uaGxgYeJoTIwaAELFOyU</recordid><startdate>20240315</startdate><enddate>20240315</enddate><creator>XU DAN</creator><creator>YUAN MUCHEN</creator><creator>DING QIANG</creator><creator>LIU PENG</creator><creator>CUI HUI</creator><creator>HUANG GUODONG</creator><creator>SU MINGYU</creator><creator>LI BO</creator><creator>MA JIAJUN</creator><creator>LI LIXIN</creator><creator>HU XIAOJING</creator><creator>LI LINGHAO</creator><creator>CAI ZHI</creator><creator>XU XIAOTONG</creator><creator>XU SHENGNAN</creator><creator>ZHANG SHUYAN</creator><creator>CHANG JIANG</creator><creator>DAI SAI</creator><creator>ZHANG RUIWEN</creator><creator>WANG LEI</creator><creator>QU FUMIN</creator><creator>LI YUXUAN</creator><creator>HAN BIN</creator><creator>XU XIAO</creator><creator>YANG ZHANYONG</creator><creator>ZHANG JIALI</creator><creator>LI JINGSONG</creator><creator>LU YI</creator><creator>YAN JINGHUA</creator><creator>LI ZHE</creator><creator>ZHANG CHUANCHENG</creator><creator>HU CHENXU</creator><creator>YAN CUIHUI</creator><creator>SHENG CANHUI</creator><creator>YANG XIAONAN</creator><creator>LI YUANYUAN</creator><creator>LI WEIGANG</creator><scope>EVB</scope></search><sort><creationdate>20240315</creationdate><title>Power system partition load demand prediction method, system and device and storage medium</title><author>XU DAN ; 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training the long-short-term memory network model by using the training data set to obtain a partition load demand prediction model; inputting the test data set into the partition load demand prediction model, and calculating to obtain a future load prediction value of each power system partition; and evaluating the calculated future load prediction value of each power system partition, adjusting related parameters of the power system partition load model and the partition load demand prediction model and a power system partition scheme according to an evaluation result, and solving to obtain a powe</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Power system partition load demand prediction method, system and device and storage medium |
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