Short-term photovoltaic output prediction method based on improved Informer model

The invention is suitable for the field of photovoltaic prediction, and discloses a short-term photovoltaic output prediction method based on an improved Informer model, and the method comprises the steps: collecting historical data of a photovoltaic power generation system, and carrying out the pre...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: PAN XINGTONG, XIE XINYI, WANG DONG, SUN YUNLIN, DENG YIXIANG, YANG MIAOLIN, WANG XIAOYANG
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 PAN XINGTONG
XIE XINYI
WANG DONG
SUN YUNLIN
DENG YIXIANG
YANG MIAOLIN
WANG XIAOYANG
description The invention is suitable for the field of photovoltaic prediction, and discloses a short-term photovoltaic output prediction method based on an improved Informer model, and the method comprises the steps: collecting historical data of a photovoltaic power generation system, and carrying out the preprocessing of the historical data; clustering the preprocessed meteorological environment data by using a twin network model to obtain a plurality of meteorological clusters; extracting feature vectors of the meteorological environment data samples through the ResNet initial model, and encoding the feature vectors of the meteorological environment data samples by using a PSO (Particle Swarm Optimization) algorithm; classifying the encoded feature vectors through an SVM classifier, and generating a plurality of training samples according to a classification result; inputting the plurality of training samples into an improved Informer model for training to obtain a short-term photovoltaic output prediction model; obt
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117787498A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117787498A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117787498A3</originalsourceid><addsrcrecordid>eNqNikEKwjAQAHPxIOof1gf0UBRSj1IUvQii9xKTLQkk2bDZ9v324AM8zQzMWj1fnlgaQU5QPAnNFMUECzRJmQQKowtWAmVIKJ4cfExFB0uHVJjmxe95JE7IkMhh3KrVaGLF3Y8btb9e3v2twUID1mIsZpShf7St1p0-nrrz4Z_nC0Q6OIk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Short-term photovoltaic output prediction method based on improved Informer model</title><source>esp@cenet</source><creator>PAN XINGTONG ; XIE XINYI ; WANG DONG ; SUN YUNLIN ; DENG YIXIANG ; YANG MIAOLIN ; WANG XIAOYANG</creator><creatorcontrib>PAN XINGTONG ; XIE XINYI ; WANG DONG ; SUN YUNLIN ; DENG YIXIANG ; YANG MIAOLIN ; WANG XIAOYANG</creatorcontrib><description>The invention is suitable for the field of photovoltaic prediction, and discloses a short-term photovoltaic output prediction method based on an improved Informer model, and the method comprises the steps: collecting historical data of a photovoltaic power generation system, and carrying out the preprocessing of the historical data; clustering the preprocessed meteorological environment data by using a twin network model to obtain a plurality of meteorological clusters; extracting feature vectors of the meteorological environment data samples through the ResNet initial model, and encoding the feature vectors of the meteorological environment data samples by using a PSO (Particle Swarm Optimization) algorithm; classifying the encoded feature vectors through an SVM classifier, and generating a plurality of training samples according to a classification result; inputting the plurality of training samples into an improved Informer model for training to obtain a short-term photovoltaic output prediction model; obt</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&amp;date=20240329&amp;DB=EPODOC&amp;CC=CN&amp;NR=117787498A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240329&amp;DB=EPODOC&amp;CC=CN&amp;NR=117787498A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>PAN XINGTONG</creatorcontrib><creatorcontrib>XIE XINYI</creatorcontrib><creatorcontrib>WANG DONG</creatorcontrib><creatorcontrib>SUN YUNLIN</creatorcontrib><creatorcontrib>DENG YIXIANG</creatorcontrib><creatorcontrib>YANG MIAOLIN</creatorcontrib><creatorcontrib>WANG XIAOYANG</creatorcontrib><title>Short-term photovoltaic output prediction method based on improved Informer model</title><description>The invention is suitable for the field of photovoltaic prediction, and discloses a short-term photovoltaic output prediction method based on an improved Informer model, and the method comprises the steps: collecting historical data of a photovoltaic power generation system, and carrying out the preprocessing of the historical data; clustering the preprocessed meteorological environment data by using a twin network model to obtain a plurality of meteorological clusters; extracting feature vectors of the meteorological environment data samples through the ResNet initial model, and encoding the feature vectors of the meteorological environment data samples by using a PSO (Particle Swarm Optimization) algorithm; classifying the encoded feature vectors through an SVM classifier, and generating a plurality of training samples according to a classification result; inputting the plurality of training samples into an improved Informer model for training to obtain a short-term photovoltaic output prediction model; obt</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>eNqNikEKwjAQAHPxIOof1gf0UBRSj1IUvQii9xKTLQkk2bDZ9v324AM8zQzMWj1fnlgaQU5QPAnNFMUECzRJmQQKowtWAmVIKJ4cfExFB0uHVJjmxe95JE7IkMhh3KrVaGLF3Y8btb9e3v2twUID1mIsZpShf7St1p0-nrrz4Z_nC0Q6OIk</recordid><startdate>20240329</startdate><enddate>20240329</enddate><creator>PAN XINGTONG</creator><creator>XIE XINYI</creator><creator>WANG DONG</creator><creator>SUN YUNLIN</creator><creator>DENG YIXIANG</creator><creator>YANG MIAOLIN</creator><creator>WANG XIAOYANG</creator><scope>EVB</scope></search><sort><creationdate>20240329</creationdate><title>Short-term photovoltaic output prediction method based on improved Informer model</title><author>PAN XINGTONG ; XIE XINYI ; WANG DONG ; SUN YUNLIN ; DENG YIXIANG ; YANG MIAOLIN ; WANG XIAOYANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117787498A3</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>PAN XINGTONG</creatorcontrib><creatorcontrib>XIE XINYI</creatorcontrib><creatorcontrib>WANG DONG</creatorcontrib><creatorcontrib>SUN YUNLIN</creatorcontrib><creatorcontrib>DENG YIXIANG</creatorcontrib><creatorcontrib>YANG MIAOLIN</creatorcontrib><creatorcontrib>WANG XIAOYANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>PAN XINGTONG</au><au>XIE XINYI</au><au>WANG DONG</au><au>SUN YUNLIN</au><au>DENG YIXIANG</au><au>YANG MIAOLIN</au><au>WANG XIAOYANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Short-term photovoltaic output prediction method based on improved Informer model</title><date>2024-03-29</date><risdate>2024</risdate><abstract>The invention is suitable for the field of photovoltaic prediction, and discloses a short-term photovoltaic output prediction method based on an improved Informer model, and the method comprises the steps: collecting historical data of a photovoltaic power generation system, and carrying out the preprocessing of the historical data; clustering the preprocessed meteorological environment data by using a twin network model to obtain a plurality of meteorological clusters; extracting feature vectors of the meteorological environment data samples through the ResNet initial model, and encoding the feature vectors of the meteorological environment data samples by using a PSO (Particle Swarm Optimization) algorithm; classifying the encoded feature vectors through an SVM classifier, and generating a plurality of training samples according to a classification result; inputting the plurality of training samples into an improved Informer model for training to obtain a short-term photovoltaic output prediction model; obt</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN117787498A
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 Short-term photovoltaic output prediction method based on improved Informer model
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T19%3A54%3A24IST&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=PAN%20XINGTONG&rft.date=2024-03-29&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117787498A%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