Industrial user load prediction method based on improved empirical Fourier decomposition
The invention discloses an industrial user load prediction method based on improved empirical Fourier decomposition, and the method comprises the steps: obtaining original industrial user load data, and carrying out the preprocessing of the industrial user load data; the method comprises the followi...
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 | HUANG CHENG JIANG ZHUOYU ZHAO PENG ZHANG LIANG ZHANG AOXING LAI YANGLAN XU CHENLU DONG HONGWEI GUO DAJIANG NIE BINGQING |
| description | The invention discloses an industrial user load prediction method based on improved empirical Fourier decomposition, and the method comprises the steps: obtaining original industrial user load data, and carrying out the preprocessing of the industrial user load data; the method comprises the following steps of: decomposing industrial user load data by adopting an IEFD method, and decomposing data containing impact load into components of different modes and residual components; dividing the obtained load sequence component into a high-frequency component and a low-frequency component by adopting a zero-crossing rate Pzero; establishing an IBES-BiLSTM prediction model to predict the high-frequency component to obtain a prediction result of the high-frequency component, and establishing an IBES-LSSVR prediction model to predict the low-frequency component to obtain a prediction result of the low-frequency component; reconstructing the prediction result of the high-frequency component and the prediction result o |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118410934A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118410934A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118410934A3</originalsourceid><addsrcrecordid>eNqNyzEKAjEQBdA0FqLeIR5AMOwWWsrioo2Vhd0Sk5EdSDJhJvH8RvAAVv9_-G-pHtfkqxRGG3QVYB3Iep0ZPLqClHSEMpPXTyvgddsYM9O7dYgZGV1zI1XGRj04ipkEv3CtFi8bBDa_XKnteL4Plx1kmkCydZCgTMPNmENv9seuP3X_fD7z6Dr-</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Industrial user load prediction method based on improved empirical Fourier decomposition</title><source>esp@cenet</source><creator>HUANG CHENG ; JIANG ZHUOYU ; ZHAO PENG ; ZHANG LIANG ; ZHANG AOXING ; LAI YANGLAN ; XU CHENLU ; DONG HONGWEI ; GUO DAJIANG ; NIE BINGQING</creator><creatorcontrib>HUANG CHENG ; JIANG ZHUOYU ; ZHAO PENG ; ZHANG LIANG ; ZHANG AOXING ; LAI YANGLAN ; XU CHENLU ; DONG HONGWEI ; GUO DAJIANG ; NIE BINGQING</creatorcontrib><description>The invention discloses an industrial user load prediction method based on improved empirical Fourier decomposition, and the method comprises the steps: obtaining original industrial user load data, and carrying out the preprocessing of the industrial user load data; the method comprises the following steps of: decomposing industrial user load data by adopting an IEFD method, and decomposing data containing impact load into components of different modes and residual components; dividing the obtained load sequence component into a high-frequency component and a low-frequency component by adopting a zero-crossing rate Pzero; establishing an IBES-BiLSTM prediction model to predict the high-frequency component to obtain a prediction result of the high-frequency component, and establishing an IBES-LSSVR prediction model to predict the low-frequency component to obtain a prediction result of the low-frequency component; reconstructing the prediction result of the high-frequency component and the prediction result o</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 ; ELECTRIC DIGITAL DATA PROCESSING ; 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=20240730&DB=EPODOC&CC=CN&NR=118410934A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240730&DB=EPODOC&CC=CN&NR=118410934A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HUANG CHENG</creatorcontrib><creatorcontrib>JIANG ZHUOYU</creatorcontrib><creatorcontrib>ZHAO PENG</creatorcontrib><creatorcontrib>ZHANG LIANG</creatorcontrib><creatorcontrib>ZHANG AOXING</creatorcontrib><creatorcontrib>LAI YANGLAN</creatorcontrib><creatorcontrib>XU CHENLU</creatorcontrib><creatorcontrib>DONG HONGWEI</creatorcontrib><creatorcontrib>GUO DAJIANG</creatorcontrib><creatorcontrib>NIE BINGQING</creatorcontrib><title>Industrial user load prediction method based on improved empirical Fourier decomposition</title><description>The invention discloses an industrial user load prediction method based on improved empirical Fourier decomposition, and the method comprises the steps: obtaining original industrial user load data, and carrying out the preprocessing of the industrial user load data; the method comprises the following steps of: decomposing industrial user load data by adopting an IEFD method, and decomposing data containing impact load into components of different modes and residual components; dividing the obtained load sequence component into a high-frequency component and a low-frequency component by adopting a zero-crossing rate Pzero; establishing an IBES-BiLSTM prediction model to predict the high-frequency component to obtain a prediction result of the high-frequency component, and establishing an IBES-LSSVR prediction model to predict the low-frequency component to obtain a prediction result of the low-frequency component; reconstructing the prediction result of the high-frequency component and the prediction result o</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>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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyzEKAjEQBdA0FqLeIR5AMOwWWsrioo2Vhd0Sk5EdSDJhJvH8RvAAVv9_-G-pHtfkqxRGG3QVYB3Iep0ZPLqClHSEMpPXTyvgddsYM9O7dYgZGV1zI1XGRj04ipkEv3CtFi8bBDa_XKnteL4Plx1kmkCydZCgTMPNmENv9seuP3X_fD7z6Dr-</recordid><startdate>20240730</startdate><enddate>20240730</enddate><creator>HUANG CHENG</creator><creator>JIANG ZHUOYU</creator><creator>ZHAO PENG</creator><creator>ZHANG LIANG</creator><creator>ZHANG AOXING</creator><creator>LAI YANGLAN</creator><creator>XU CHENLU</creator><creator>DONG HONGWEI</creator><creator>GUO DAJIANG</creator><creator>NIE BINGQING</creator><scope>EVB</scope></search><sort><creationdate>20240730</creationdate><title>Industrial user load prediction method based on improved empirical Fourier decomposition</title><author>HUANG CHENG ; JIANG ZHUOYU ; ZHAO PENG ; ZHANG LIANG ; ZHANG AOXING ; LAI YANGLAN ; XU CHENLU ; DONG HONGWEI ; GUO DAJIANG ; NIE BINGQING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118410934A3</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>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>HUANG CHENG</creatorcontrib><creatorcontrib>JIANG ZHUOYU</creatorcontrib><creatorcontrib>ZHAO PENG</creatorcontrib><creatorcontrib>ZHANG LIANG</creatorcontrib><creatorcontrib>ZHANG AOXING</creatorcontrib><creatorcontrib>LAI YANGLAN</creatorcontrib><creatorcontrib>XU CHENLU</creatorcontrib><creatorcontrib>DONG HONGWEI</creatorcontrib><creatorcontrib>GUO DAJIANG</creatorcontrib><creatorcontrib>NIE BINGQING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUANG CHENG</au><au>JIANG ZHUOYU</au><au>ZHAO PENG</au><au>ZHANG LIANG</au><au>ZHANG AOXING</au><au>LAI YANGLAN</au><au>XU CHENLU</au><au>DONG HONGWEI</au><au>GUO DAJIANG</au><au>NIE BINGQING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Industrial user load prediction method based on improved empirical Fourier decomposition</title><date>2024-07-30</date><risdate>2024</risdate><abstract>The invention discloses an industrial user load prediction method based on improved empirical Fourier decomposition, and the method comprises the steps: obtaining original industrial user load data, and carrying out the preprocessing of the industrial user load data; the method comprises the following steps of: decomposing industrial user load data by adopting an IEFD method, and decomposing data containing impact load into components of different modes and residual components; dividing the obtained load sequence component into a high-frequency component and a low-frequency component by adopting a zero-crossing rate Pzero; establishing an IBES-BiLSTM prediction model to predict the high-frequency component to obtain a prediction result of the high-frequency component, and establishing an IBES-LSSVR prediction model to predict the low-frequency component to obtain a prediction result of the low-frequency component; reconstructing the prediction result of the high-frequency component and the prediction result o</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN118410934A |
| source | esp@cenet |
| 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 ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Industrial user load prediction method based on improved empirical Fourier decomposition |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T20%3A19%3A17IST&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=HUANG%20CHENG&rft.date=2024-07-30&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118410934A%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 |