Kadir Amasyali

Orcid: 0000-0003-0585-0103

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

Reinforcement-learning-based Smart Water Heater Control: An Actual Deployment.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Anomaly detection for MPC forecast in Fleet of Water Heaters.
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

Hierarchical Transactive Control of Flexible Building Loads Under Distribution LMP.
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

Double Deep Q-Networks for Optimizing Electricity Cost of a Water Heater.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

Gaussian Process Regression for Aggregate Baseline Load Forecasting.
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

Genetic Algorithm for Demand Response: A Stackelberg Game Approach.
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

Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020


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