Forecasting Water Inflow for Bang Lang Dam

Forecasting Water Inflow for Bang Lang Dam

The information about water inflow for Bang Lang Dam Thailand is very important to the Pattani river management in order to manage the built multipurpose water storage dam for power generation and agriculture in the area. The management of water can be more efficient if the accurate forecasting of t...

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Bibliographic Details
Published in:2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) pp. 0229 - 0233
Main Authors: Benhawan, Akmal, Matayong, Sureena, Choksuchat, Chidchanok
Format: Conference Proceeding
Language:English
Published: IEEE 26-01-2022
Subjects:
Atmospheric modeling
Bang Lang Dam
Conferences
Correlation
Dams
Deep learning
forecasting
Temperature
Water
water inflow
Online Access:Get full text
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Summary:The information about water inflow for Bang Lang Dam Thailand is very important to the Pattani river management in order to manage the built multipurpose water storage dam for power generation and agriculture in the area. The management of water can be more efficient if the accurate forecasting of the water inflow into the dam is acknowledged. This study applied the H2O deep learning model, which is a multi-layer feed-forward Artificial Neural Network (ANN) to create the model for water inflow forecasting. The data was daily from January 1, 2012 to December 31, 2020. The model performed accuracy with MAE: 1.300, RMSE: 3.111, R2: 0.767, R: 0.876 which provided a good result.
DOI:10.1109/CCWC54503.2022.9720865