Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systems

Bibliographic Details
Main Authors: Chunyu Zhang, Xueqian Fu, Xianping Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
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
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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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