Kadir Amasyali
Orcid: 0000-0003-0585-0103Affiliations:
- Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
According to our database1,
Kadir Amasyali
authored at least 15 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Transfer Learning Strategy for Improving the Data Efficiency of Deep Reinforcement Learning Control in Smart Buildings.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024
2023
Deep Reinforcement Learning based HVAC Control for Reducing Carbon Footprint of Buildings.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
A Data-Driven, Distributed Game-Theoretic Transactional Control Approach for Hierarchical Demand Response.
IEEE Access, 2022
Deep reinforcement learning with online data augmentation to improve sample efficiency for intelligent HVAC control.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
Hierarchical Model-Free Transactive Control of Residential Building Loads: An Actual Deployment.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
2021
Comparative analysis of model-free and model-based HVAC control for residential demand response.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021
Proceedings of the Annual Modeling and Simulation Conference, 2021
2020
Hierarchical Model-Free Transactional Control of Building Loads to Support Grid Services.
IEEE Access, 2020
Proceedings of the Spring Simulation Conference, 2020
A Machine Learning-based Approach to Predict the Aggregate Flexibility of HVAC Systems.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020