ELECTRONIC DEVICE CONTROL METHOD AND COMPUTER PROGRAM INCLUDING ARTIFICIAL INTELLIGENCE MODEL FOR PREDICTING SOLAR POWER GENERATION INCLUDING FINE DUST IN ATMOSPHERE

The present invention relates to an electronic device, a control method, and a computer program including an artificial intelligence model for predicting a solar power generation amount including fine dust in the atmosphere which use a GRU-ANN model, which is a hybrid model that replaces a dense lay...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: YOON JAE SEONG, AHN JOHNG HWA, KIM KYUNG MIN
Format: Patent
Sprache:eng ; kor
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 YOON JAE SEONG
AHN JOHNG HWA
KIM KYUNG MIN
description The present invention relates to an electronic device, a control method, and a computer program including an artificial intelligence model for predicting a solar power generation amount including fine dust in the atmosphere which use a GRU-ANN model, which is a hybrid model that replaces a dense layer of a single model, a gated recurrent unit (GRU) with an artificial neural network (ANN). 본 발명은 대기 중 미세먼지를 포함한 태양광 발전량 예측을 위한 인공지능 모델을 포함하는 전자 장치, 제어 방법, 및 컴퓨터프로그램에 관한 것으로, 단일 모델인 GRU(Gated Recurrent Unit)의 dense layer를 ANN(Artificial Neural Network)으로 대체한 하이브리드(hybrid) 모델인, GRU-ANN 모델을 사용한다.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_KR20230120197A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>KR20230120197A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_KR20230120197A3</originalsourceid><addsrcrecordid>eNqNjLEKwjAURbs4iPoPD5yFWgdxDMlL-zDJK-mrjqVInEQF_SX_0wgOjk4XDueeafFCh1oiB9Jg8EAaQXPIwIFHadiACiYj3_aCEdrIdVQeKGjXGwo1qChkSZNyGQo6RzWGXPFs0IHlzwcNafnIHTuVAR9zKmsYlRCHn5qlgGD6TjIDJZ67tsGI82JyHi-PtPjurFhaFN2s0v02pMd9PKVreg77WJXVplxX5Xq3VZv_rDccT0dj</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>ELECTRONIC DEVICE CONTROL METHOD AND COMPUTER PROGRAM INCLUDING ARTIFICIAL INTELLIGENCE MODEL FOR PREDICTING SOLAR POWER GENERATION INCLUDING FINE DUST IN ATMOSPHERE</title><source>esp@cenet</source><creator>YOON JAE SEONG ; AHN JOHNG HWA ; KIM KYUNG MIN</creator><creatorcontrib>YOON JAE SEONG ; AHN JOHNG HWA ; KIM KYUNG MIN</creatorcontrib><description>The present invention relates to an electronic device, a control method, and a computer program including an artificial intelligence model for predicting a solar power generation amount including fine dust in the atmosphere which use a GRU-ANN model, which is a hybrid model that replaces a dense layer of a single model, a gated recurrent unit (GRU) with an artificial neural network (ANN). 본 발명은 대기 중 미세먼지를 포함한 태양광 발전량 예측을 위한 인공지능 모델을 포함하는 전자 장치, 제어 방법, 및 컴퓨터프로그램에 관한 것으로, 단일 모델인 GRU(Gated Recurrent Unit)의 dense layer를 ANN(Artificial Neural Network)으로 대체한 하이브리드(hybrid) 모델인, GRU-ANN 모델을 사용한다.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ; COUNTING ; ELECTRICITY ; GENERATION ; GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRA-REDRADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, E.G. USINGPHOTOVOLTAIC [PV] MODULES ; PHYSICS</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&amp;date=20230817&amp;DB=EPODOC&amp;CC=KR&amp;NR=20230120197A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25566,76549</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230817&amp;DB=EPODOC&amp;CC=KR&amp;NR=20230120197A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YOON JAE SEONG</creatorcontrib><creatorcontrib>AHN JOHNG HWA</creatorcontrib><creatorcontrib>KIM KYUNG MIN</creatorcontrib><title>ELECTRONIC DEVICE CONTROL METHOD AND COMPUTER PROGRAM INCLUDING ARTIFICIAL INTELLIGENCE MODEL FOR PREDICTING SOLAR POWER GENERATION INCLUDING FINE DUST IN ATMOSPHERE</title><description>The present invention relates to an electronic device, a control method, and a computer program including an artificial intelligence model for predicting a solar power generation amount including fine dust in the atmosphere which use a GRU-ANN model, which is a hybrid model that replaces a dense layer of a single model, a gated recurrent unit (GRU) with an artificial neural network (ANN). 본 발명은 대기 중 미세먼지를 포함한 태양광 발전량 예측을 위한 인공지능 모델을 포함하는 전자 장치, 제어 방법, 및 컴퓨터프로그램에 관한 것으로, 단일 모델인 GRU(Gated Recurrent Unit)의 dense layer를 ANN(Artificial Neural Network)으로 대체한 하이브리드(hybrid) 모델인, GRU-ANN 모델을 사용한다.</description><subject>CALCULATING</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>ELECTRICITY</subject><subject>GENERATION</subject><subject>GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRA-REDRADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, E.G. USINGPHOTOVOLTAIC [PV] MODULES</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjLEKwjAURbs4iPoPD5yFWgdxDMlL-zDJK-mrjqVInEQF_SX_0wgOjk4XDueeafFCh1oiB9Jg8EAaQXPIwIFHadiACiYj3_aCEdrIdVQeKGjXGwo1qChkSZNyGQo6RzWGXPFs0IHlzwcNafnIHTuVAR9zKmsYlRCHn5qlgGD6TjIDJZ67tsGI82JyHi-PtPjurFhaFN2s0v02pMd9PKVreg77WJXVplxX5Xq3VZv_rDccT0dj</recordid><startdate>20230817</startdate><enddate>20230817</enddate><creator>YOON JAE SEONG</creator><creator>AHN JOHNG HWA</creator><creator>KIM KYUNG MIN</creator><scope>EVB</scope></search><sort><creationdate>20230817</creationdate><title>ELECTRONIC DEVICE CONTROL METHOD AND COMPUTER PROGRAM INCLUDING ARTIFICIAL INTELLIGENCE MODEL FOR PREDICTING SOLAR POWER GENERATION INCLUDING FINE DUST IN ATMOSPHERE</title><author>YOON JAE SEONG ; AHN JOHNG HWA ; KIM KYUNG MIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20230120197A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</topic><topic>COUNTING</topic><topic>ELECTRICITY</topic><topic>GENERATION</topic><topic>GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRA-REDRADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, E.G. USINGPHOTOVOLTAIC [PV] MODULES</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>YOON JAE SEONG</creatorcontrib><creatorcontrib>AHN JOHNG HWA</creatorcontrib><creatorcontrib>KIM KYUNG MIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YOON JAE SEONG</au><au>AHN JOHNG HWA</au><au>KIM KYUNG MIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ELECTRONIC DEVICE CONTROL METHOD AND COMPUTER PROGRAM INCLUDING ARTIFICIAL INTELLIGENCE MODEL FOR PREDICTING SOLAR POWER GENERATION INCLUDING FINE DUST IN ATMOSPHERE</title><date>2023-08-17</date><risdate>2023</risdate><abstract>The present invention relates to an electronic device, a control method, and a computer program including an artificial intelligence model for predicting a solar power generation amount including fine dust in the atmosphere which use a GRU-ANN model, which is a hybrid model that replaces a dense layer of a single model, a gated recurrent unit (GRU) with an artificial neural network (ANN). 본 발명은 대기 중 미세먼지를 포함한 태양광 발전량 예측을 위한 인공지능 모델을 포함하는 전자 장치, 제어 방법, 및 컴퓨터프로그램에 관한 것으로, 단일 모델인 GRU(Gated Recurrent Unit)의 dense layer를 ANN(Artificial Neural Network)으로 대체한 하이브리드(hybrid) 모델인, GRU-ANN 모델을 사용한다.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng ; kor
recordid cdi_epo_espacenet_KR20230120197A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
COUNTING
ELECTRICITY
GENERATION
GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRA-REDRADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, E.G. USINGPHOTOVOLTAIC [PV] MODULES
PHYSICS
title ELECTRONIC DEVICE CONTROL METHOD AND COMPUTER PROGRAM INCLUDING ARTIFICIAL INTELLIGENCE MODEL FOR PREDICTING SOLAR POWER GENERATION INCLUDING FINE DUST IN ATMOSPHERE
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T09%3A54%3A29IST&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=YOON%20JAE%20SEONG&rft.date=2023-08-17&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EKR20230120197A%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