@inproceedings{e3f95a305d9747d1942c4b04ee1d9982,
title = "Greenhouse climate control based on time series analysis",
abstract = "Climate control is vitally important to the operation of greenhouses. However, many conventional methods for controlling greenhouse climate are not efficient enough since they are either based on an on-off control method or a proportional control method. To maintain a steady climate, an intelligent switching control strategy for greenhouse climate control system was designed using time series to analyze historical data from greenhouse climate control system and predict target attribute's value to regulate climatic conditions such as suppress or raise the environmental factor based on prediction results. The simulated results showed that the greenhouse climate can be stabilized and maintained within the ideal range by the proposed control strategy.",
author = "Chou, {Cheng Kai} and Lo, {Chun Chih} and Huang, {Shih Hao} and Horng, {Mong Fong} and Kuo, {Yau Hwang}",
note = "Funding Information: ACKNOWLEDGMENT The authors would like to thank the Ministry of Science and Technology for supporting this research, which is part of the project numbered 106-2221-E-006-244-MY3 and 105-2221-E-006-138-MY2. Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE World Congress on Services, SERVICES 2018 ; Conference date: 02-07-2018 Through 07-07-2018",
year = "2018",
month = oct,
day = "17",
doi = "10.1109/SERVICES.2018.00044",
language = "English",
series = "Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "63--64",
booktitle = "Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018",
address = "United States",
}
