Parallel Control of Greenhouse Climate With a Transferable Prediction Model
文献类型：期刊论文
| 作者 | Xiaoxuan Zhao ; Yingqi Han; Udom Lewlomphaisarl,; Haoyu Wang; Jing Hua; Xiujuan Wang; Mengzhen Kang
|
| 刊名 | IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION
 |
| 出版日期 | 2022 |
| 卷号 | 6页码:857-861 |
| 英文摘要 | Highly intelligent greenhouse without human inter
vention is the goal of autonomous greenhouse control. In this
paper, a parallel control framework for greenhouse climate is
proposed which aims to minimize the need for monitored data
and expert knowledge. GreenLight climate model is used as a
knowledge-based model that produces simulated data. LSTM
with control units is pre-trained with these data. Test on nec
essary data size is done by transferring the model to other
greenhouses. The new transferred model has a good improve
ment in the prediction of indoor temperature, humidity and CO2
concentration with approximate 0.05, 0.05 and 0.1 of R2, respec
tively, which shows the feasibility of the transferable prediction
model. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51582]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 推荐引用方式 GB/T 7714 | Xiaoxuan Zhao,Yingqi Han,Udom Lewlomphaisarl,,et al. Parallel Control of Greenhouse Climate With a Transferable Prediction Model[J]. IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION,2022,6:857-861. |
| APA | Xiaoxuan Zhao.,Yingqi Han.,Udom Lewlomphaisarl,.,Haoyu Wang.,Jing Hua.,...&Mengzhen Kang.(2022).Parallel Control of Greenhouse Climate With a Transferable Prediction Model.IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION,6,857-861. |
| MLA | Xiaoxuan Zhao,et al."Parallel Control of Greenhouse Climate With a Transferable Prediction Model".IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION 6(2022):857-861. |
入库方式： OAI收割
来源：自动化研究所
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