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ORCIDKadir Amasyali
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- affiliation: Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
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2020 – today
- 2024
[c13]Kadir Amasyali, Yan Liu, Helia Zandi
:
A Transfer Learning Strategy for Improving the Data Efficiency of Deep Reinforcement Learning Control in Smart Buildings. ISGT 2024: 1-5- 2023
- [c12]Viswadeep Lebakula, Eve Tsybina, Kadir Amasyali, Justin M. Hill, Jeffrey Munk, Helia Zandi:
Anomaly detection for MPC forecast in Fleet of Water Heaters. ICMLA 2023: 249-256 - [c11]Kadir Amasyali, Kuldeep R. Kurte, Helia Zandi, Jeffrey Munk:
Reinforcement-learning-based Smart Water Heater Control: An Actual Deployment. ISGT 2023: 1-5 - [c10]Kuldeep R. Kurte, Kadir Amasyali, Jeffrey Munk, Helia Zandi:
Deep Reinforcement Learning based HVAC Control for Reducing Carbon Footprint of Buildings. ISGT 2023: 1-5 - 2022
- [j2]Kadir Amasyali, Yang Chen, Mohammed M. Olama:
A Data-Driven, Distributed Game-Theoretic Transactional Control Approach for Hierarchical Demand Response. IEEE Access 10: 72279-72289 (2022) - [c9]Kadir Amasyali, Christopher Winstead, Yang Chen, Jeffrey Munk, Mohammed M. Olama, Justin M. Hill:
Hierarchical Model-Free Transactive Control of Residential Building Loads: An Actual Deployment. ISGT 2022: 1-5 - [c8]Byungkwon Park, Kadir Amasyali, Yang Chen, Mohammed M. Olama:
Hierarchical Transactive Control of Flexible Building Loads Under Distribution LMP. ISGT 2022: 1-5 - [c7]Kuldeep R. Kurte, Kadir Amasyali, Jeffrey Munk, Helia Zandi:
Deep reinforcement learning with online data augmentation to improve sample efficiency for intelligent HVAC control. BuildSys 2022: 479-483 - 2021
- [c6]Kadir Amasyali, Mohammed M. Olama:
Gaussian Process Regression for Aggregate Baseline Load Forecasting. ANNSIM 2021: 1-10 - [c5]Kadir Amasyali, Kuldeep R. Kurte, Helia Zandi, Jeffrey Munk, Olivera Kotevska, Robert W. Smith:
Double Deep Q-Networks for Optimizing Electricity Cost of a Water Heater. ISGT 2021: 1-5 - [c4]Kuldeep R. Kurte, Kadir Amasyali, Jeffrey Munk, Helia Zandi:
Comparative analysis of model-free and model-based HVAC control for residential demand response. BuildSys 2021: 309-313 - 2020
- [j1]Kadir Amasyali, Yang Chen, Bhagyashri Telsang, Mohammed M. Olama, Seddik M. Djouadi:
Hierarchical Model-Free Transactional Control of Building Loads to Support Grid Services. IEEE Access 8: 219367-219377 (2020) - [c3]Olivera Kotevska, Jeffrey Munk, Kuldeep R. Kurte, Yan Du, Kadir Amasyali, Robert W. Smith, Helia Zandi:
Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control. IEEE BigData 2020: 1555-1564 - [c2]Kadir Amasyali, Mohammed M. Olama, Aniruddha Perumalla:
A Machine Learning-based Approach to Predict the Aggregate Flexibility of HVAC Systems. ISGT 2020: 1-5 - [c1]Kadir Amasyali, Mohammed M. Olama, Yang Chen:
Genetic Algorithm for Demand Response: A Stackelberg Game Approach. SpringSim 2020: 1-12
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