Abstract
Solar energy has been developed rapidly in Vietnam for three recent years. It becomes a promising energy sources when Vietnamese government shows the important factors of clean energy and commit to reduce thermal power stations as they cause side effects for environment. As the result, there is a need to manage solar stations that spread out the whole country. Satellite images are the data sources to observe the earth surface that can be used in many monitoring applications. For this purpose, the paper proposes a machine learning approach to automatically detect and calculate the solar farm area using Google Earth Engine which is a cloud-based platform for processing large scale spatial data. The method has been employed to solar stations in Dak Lak province and showed the potential solution for solar electricity management in Vietnam.
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Acknowledgment
This work is supported by the project no. B2022-MDA-01 granted by Ministry of Education and Training (MOET).
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Nguyen, D., Dinh, B.N., Le, H.A. (2022). An Approach to Monitoring Solar Farms in Vietnam Using GEE and Satellite Imagery. In: Nguyen, NT., Dao, NN., Pham, QD., Le, H.A. (eds) Intelligence of Things: Technologies and Applications . ICIT 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 148. Springer, Cham. https://doi.org/10.1007/978-3-031-15063-0_25
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DOI: https://doi.org/10.1007/978-3-031-15063-0_25
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