Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systems
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-01-01
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Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1073976/full |
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author | Chunyu Zhang Chunyu Zhang Chunyu Zhang Chunyu Zhang Xueqian Fu Xueqian Fu Xueqian Fu Xueqian Fu Xianping Wu Xianping Wu Xianping Wu Xianping Wu |
author_facet | Chunyu Zhang Chunyu Zhang Chunyu Zhang Chunyu Zhang Xueqian Fu Xueqian Fu Xueqian Fu Xueqian Fu Xianping Wu Xianping Wu Xianping Wu Xianping Wu |
author_sort | Chunyu Zhang |
collection | DOAJ |
first_indexed | 2024-04-10T22:41:43Z |
format | Article |
id | doaj.art-730758fb4ba9401ebe48f771885c0cbc |
institution | Directory Open Access Journal |
issn | 2296-598X |
language | English |
last_indexed | 2024-04-10T22:41:43Z |
publishDate | 2023-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Energy Research |
spelling | doaj.art-730758fb4ba9401ebe48f771885c0cbc2023-01-16T04:18:26ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.10739761073976Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systemsChunyu Zhang0Chunyu Zhang1Chunyu Zhang2Chunyu Zhang3Xueqian Fu4Xueqian Fu5Xueqian Fu6Xueqian Fu7Xianping Wu8Xianping Wu9Xianping Wu10Xianping Wu11College of Information and Electrical Engineering, China Agricultural University, Beijing, ChinaNational Innovation Center for Digital Fishery, China Agricultural University, Beijing, ChinaKey Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, Beijing, ChinaBeijing Engineering and Technology Research Center for Internet of Things in Agriculture, Beijing, ChinaCollege of Information and Electrical Engineering, China Agricultural University, Beijing, ChinaNational Innovation Center for Digital Fishery, China Agricultural University, Beijing, ChinaKey Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, Beijing, ChinaBeijing Engineering and Technology Research Center for Internet of Things in Agriculture, Beijing, ChinaCollege of Information and Electrical Engineering, China Agricultural University, Beijing, ChinaNational Innovation Center for Digital Fishery, China Agricultural University, Beijing, ChinaKey Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, Beijing, ChinaBeijing Engineering and Technology Research Center for Internet of Things in Agriculture, Beijing, Chinahttps://www.frontiersin.org/articles/10.3389/fenrg.2022.1073976/fullfishery-solar hybrid systemphotovoltaic powerstatistical machine learningweather simulationgenerative adversarial networks |
spellingShingle | Chunyu Zhang Chunyu Zhang Chunyu Zhang Chunyu Zhang Xueqian Fu Xueqian Fu Xueqian Fu Xueqian Fu Xianping Wu Xianping Wu Xianping Wu Xianping Wu Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systems Frontiers in Energy Research fishery-solar hybrid system photovoltaic power statistical machine learning weather simulation generative adversarial networks |
title | Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systems |
title_full | Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systems |
title_fullStr | Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systems |
title_full_unstemmed | Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systems |
title_short | Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systems |
title_sort | statistical machine learning techniques of weather simulation for the fishery solar hybrid systems |
topic | fishery-solar hybrid system photovoltaic power statistical machine learning weather simulation generative adversarial networks |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1073976/full |
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