Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization
Author:
Publisher
Elsevier BV
Reference16 articles.
1. Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings;Brandi;Energ. Buildings,2020
2. Actor-critic learning for optimal building energy management with phase change materials;Rahimpour;Electr. Pow. Syst. Res.,2020
3. Parametric analysis for performance enhancement of phase change materials in naturally ventilated buildings;Ramakrishnan;Energ. Buildings,2016
4. Prediction of internal relative humidity of concrete under different thermal conditions using an enhanced long short-term memory network;Wenwei;Therm. Sci. Eng. Progr.,2023
5. Optimization of a thermal energy storage system enhanced with fins using generative adversarial networks method;Mehrjardi;Therm. Sci. Eng. Progr.,2024
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