Kim, Hyeon-Tae

Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach

Adesanya, M. A., Obasekore, H., Rabiu, A., Na, W.-H., Ogunlowo, Q. O., Akpenpuun, T. D., Kim, M.-H., Kim, H.-T., Kang, B.-Y., & Lee, H.-W. (2024) · Expert Systems with Applications

Greenhouse Technology and Climate ControlBuilding Energy and Comfort Optimization

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Artificial neural networks and multiple linear regression as potential methods for modelling body surface temperature of pig

Basak, J. K., Okyere, F. G., Arulmozhi, E., Park, J., Khan, F., & Kim, H. T. (2020) · Journal of Applied Animal Research

Effects of Environmental Stressors on LivestockSmart Agriculture and AI

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