Akshay Ajagekar
Orcid: 0000-0001-9493-6050
According to our database1,
Akshay Ajagekar
authored at least 10 papers
between 2020 and 2024.
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Bibliography
2024
Comput. Chem. Eng., 2024
Multi-agent Deep Reinforcement Learning for Energy Management in Grid-Responsive Networked Greenhouses.
Proceedings of the American Control Conference, 2024
2023
Attention Based Multi-Agent Reinforcement Learning for Demand Response in Grid-Responsive Buildings.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
2022
Deep Reinforcement Learning based Solution Approach for Unit Commitment under Demand and Wind Power Uncertainty.
Proceedings of the American Control Conference, 2022
Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems.
Proceedings of the American Control Conference, 2022
2021
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
2020
Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems.
Comput. Chem. Eng., 2020
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems.
Comput. Chem. Eng., 2020
A Deep Learning Approach for Fault Detection and Diagnosis of Industrial Processes using Quantum Computing.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020