Digital Twin Framework for Energy Efficient Greenhouse Industry 4.0

Author:

Howard Daniel AnthonyORCID,Ma ZhengORCID,Jørgensen Bo NørregaardORCID

Publisher

Springer International Publishing

Reference5 articles.

1. Ma, Z., Jørgensen, B.N.: Energy flexibility of the commercial greenhouse growers: the potential and benefits of participating in the electricity market. In: 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 19–22 February 2018, pp. 1–5 (2018). https://doi.org/10.1109/isgt.2018.8403368

2. Christensen, K., Ma, Z., Værbak, M., Demazeau, Y., Jørgensen,B.N.: Agent-based decision making for adoption of smart energy solutions. Presented at the IV international congress of research in sciences and humanities international research conference (SHIRCON 2019), Lima, Peru, 12–15 November 2019. https://doi.org/10.1109/SHIRCON48091.2019.9024880

3. Howard, D.A., Ma, Z., Aaslyng, J.M., Jørgensen, B.N.: Data Architecture for Digital Twin of Commercial Greenhouse Production. Presented at the The 2020 RIVF international conference on computing and communication technologies, Ho Chi Minh City, Vietnam, 6–7 April 2020. https://doi.org/10.1109/RIVF48685.2020.9140726

4. Christensen, K., Ma, Z., Demazeau, Y., Jørgensen, B.N.: Agent-based modeling for optimizing CO2 reduction in commercial greenhouse production with the implicit demand response. Presented at the The 6th IEEJ international workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON2020), Shibaura Institute of Technology, Tokyo, 14–16 March 2020. http://id.nii.ac.jp/1031/00127067/

5. Howard, D., et al.: Optimization of energy flexibility in cooling process for brewery fermentation with multi-agent simulation. Presented at the The 6th IEEJ international workshop on Sensing, Actuation, Motion Control, and Optimization (SAMCON2020), Shibaura Institute of Technology, Tokyo, 14–16 March 2020. http://id.nii.ac.jp/1031/00127065/

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