Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system
Published in Environmental Modelling & Software, 2023
Recommended citation: Hong, S. M., Abbas, A., Kim, S., Kwon, D. H., Yoon, N., Yun, D., Lee, S., Pachepsky, Y., Pyo, J., & Cho, K. H. (2023). Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system. Environmental Modelling & Software, 168, 105805. https://doi.org/10.1016/j.envsoft.2023.105805
This paper uses re-inforcement learning to dynamically optimize parameters of hydrodynamic model (EFDC.)