Frontiers in Energy Research (Jan 2023)
Statistical machine learning techniques of weather simulation for the fishery-solar hybrid systems
- Chunyu Zhang,
- Chunyu Zhang,
- Chunyu Zhang,
- Chunyu Zhang,
- Xueqian Fu,
- Xueqian Fu,
- Xueqian Fu,
- Xueqian Fu,
- Xianping Wu,
- Xianping Wu,
- Xianping Wu,
- Xianping Wu
Affiliations
- Chunyu Zhang
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Chunyu Zhang
- National Innovation Center for Digital Fishery, China Agricultural University, Beijing, China
- Chunyu Zhang
- Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, Beijing, China
- Chunyu Zhang
- Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, Beijing, China
- Xueqian Fu
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Xueqian Fu
- National Innovation Center for Digital Fishery, China Agricultural University, Beijing, China
- Xueqian Fu
- Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, Beijing, China
- Xueqian Fu
- Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, Beijing, China
- Xianping Wu
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
- Xianping Wu
- National Innovation Center for Digital Fishery, China Agricultural University, Beijing, China
- Xianping Wu
- Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, Beijing, China
- Xianping Wu
- Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, Beijing, China
- DOI
- https://doi.org/10.3389/fenrg.2022.1073976
- Journal volume & issue
-
Vol. 10
Abstract
No abstracts available.Keywords
- fishery-solar hybrid system
- photovoltaic power
- statistical machine learning
- weather simulation
- generative adversarial networks