Greenhouse climate control based on time series analysis

Cheng Kai Chou, Chun Chih Lo, Shih Hao Huang, Mong Fong Horng, Yau-Hwang Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE World Congress on Services, SERVICES 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages63-64
Number of pages2
ISBN (Electronic)9781538673744
DOIs
Publication statusPublished - 2018 Oct 17
Event2018 IEEE World Congress on Services, SERVICES 2018 - San Francisco, United States
Duration: 2018 Jul 22018 Jul 7

Publication series

NameProceedings - 2018 IEEE World Congress on Services, SERVICES 2018

Other

Other2018 IEEE World Congress on Services, SERVICES 2018
CountryUnited States
CitySan Francisco
Period18-07-0218-07-07

Fingerprint

Climate control
Time series analysis
Greenhouses
Control systems
Time series
Climate

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Chou, C. K., Lo, C. C., Huang, S. H., Horng, M. F., & Kuo, Y-H. (2018). Greenhouse climate control based on time series analysis. In Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018 (pp. 63-64). [8495796] (Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SERVICES.2018.00044
Chou, Cheng Kai ; Lo, Chun Chih ; Huang, Shih Hao ; Horng, Mong Fong ; Kuo, Yau-Hwang. / Greenhouse climate control based on time series analysis. Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 63-64 (Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018).
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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.",
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Chou, CK, Lo, CC, Huang, SH, Horng, MF & Kuo, Y-H 2018, Greenhouse climate control based on time series analysis. in Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018., 8495796, Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018, Institute of Electrical and Electronics Engineers Inc., pp. 63-64, 2018 IEEE World Congress on Services, SERVICES 2018, San Francisco, United States, 18-07-02. https://doi.org/10.1109/SERVICES.2018.00044

Greenhouse climate control based on time series analysis. / Chou, Cheng Kai; Lo, Chun Chih; Huang, Shih Hao; Horng, Mong Fong; Kuo, Yau-Hwang.

Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 63-64 8495796 (Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - 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.

AB - 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.

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Chou CK, Lo CC, Huang SH, Horng MF, Kuo Y-H. Greenhouse climate control based on time series analysis. In Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 63-64. 8495796. (Proceedings - 2018 IEEE World Congress on Services, SERVICES 2018). https://doi.org/10.1109/SERVICES.2018.00044