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Reservoir inflow time series forecasting using regression model with climate indices
Weekaew, Jakkarin, Ditthakit, Pakorn, Kittiphattanabawon, Nichnan, Meesad, Phayung, Sodsee, Dr. Sunantha, Jitsakul, Watchareewan, Tangwannawit, Sakchai (2021)
The problem of reservoir inflow forecasting plays a critical role in reservoir management. However; reservoir inflow forecasting must be necessarily accurate and timely. This paper presents practical machine learning (ML) technique and the optimal... lead time for reservoir inflow forecasting. The two well-knows ML: Support Vector Regression (SVR) and Random Forests (RF); were used to predict water inflow volume into the reservoir. Both methods will improve the efficiency of the reservoir inflow
Environment monitoring system through LoRaWAN for smart agriculture
Boonyopakom, Pongsarun, Thongna, Thanamate (2020)
the environment and the weather statistics of the installation area for use in creating the model for forecasting the environment in each period. This model would then assist in the making of decisions such as ideal crops for farmers in order to get productive