Digital Twin for Regional Water Consumption Simulation and Forecasting
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53025-8_23
Reference17 articles.
1. Alves, R.G., Maia, R.F., Lima, F.: Development of a digital twin for smart farming: irrigation management system for water saving. J. Clean. Prod. 388, 135920 (2023)
2. Botín-Sanabria, D.M., Mihaita, A.S., Peimbert-García, R.E., Ramírez-Moreno, M.A., Ramírez-Mendoza, R.A., Lozoya-Santos, J.D.J.: Digital twin technology challenges and applications: a comprehensive review. Remote Sens. 14(6), 1335 (2022)
3. Cao, L., Yuan, X., Tian, F., Xu, H., Su, Z.: Forecasting of water consumption by integrating spatial and temporal characteristics of short-term water use in cities. Phys. Chem. Earth Parts A/B/C 130, 103390 (2023). https://doi.org/10.1016/j.pce.2023.103390. https://www.sciencedirect.com/science/article/pii/S1474706523000347
4. Cesco, S., Sambo, P., Borin, M., Basso, B., Orzes, G., Mazzetto, F.: Smart agriculture and digital twins: applications and challenges in a vision of sustainability. Eur. J. Agron. 146, 126809 (2023)
5. Fonseca, Í.A., Gaspar, H.M., de Mello, P.C., Sasaki, H.A.U.: A standards-based digital twin of an experiment with a scale model ship. Comput. Aided Des. 145, 103191 (2022)
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