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Skip to Search Results- 6Reinforcement Learning
- 3Artificial Intelligence
- 2Distributed Energy Resources
- 1 Power Distribution System
- 1Battery energy storage system
- 1Continuous Action Space
- 1Akbari, Mojtaba
- 1Atrazhev, Peter
- 1Chen, Ruichen
- 1Mills, Keith G.
- 1Mohammadhasani, Arash
- 1Mohammed Al-Saffar
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Fall 2023
With the increasing complexity and capacity of modern Field-Programmable Gate Arrays (FPGAs), there is a growing demand for efficient FPGA computer-aided design (CAD) tools, particularly at the placement stage. While some previous works, such as RLPlace, have explored the efficacy of single-state...
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Coordination and Optimization of Power Distribution Systems with Stochastic Distributed Energy Resources using Artificial Intelligence
DownloadSpring 2021
High levels of penetration of distributed photovoltaic generators can cause serious overvoltage issues, especially during periods of high power generation and light loads. It is of vital importance to gain more understanding of the system and to prepare mitigation plans before the number of PV...
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Fall 2022
This thesis targets output tracking problem for payload position and quadrotor yaw in an slung load system (SLS). In spite of its relatively extensive literature, full SLS control is still a challenging problem since its dimension, nonlinearity, and multiple sources of disturbances are not easy...
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Fall 2021
Powered by advancements of information and Internet technologies, there has been a rapid development in network based applications in recent years. Meanwhile, it is recognized that more attentions need to be paid to the issue of cybersecurity. The security of the network environment plays a vital...
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Motion Planning of Robotic Systems in Diagnostic and Therapy Applications Using Control and AI
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This thesis presents significant research on robotic motion planning within diagnostic and therapy applications, with a primary focus on the integration of control and AI techniques. The research encompasses three main contributions: a robotic ultrasound imaging method, a robot-assisted...
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On the Application of Continuous Deterministic Reinforcement Learning in Neural Architecture Search
DownloadSpring 2021
Architecture evaluation is a major bottleneck of Neural Architecture Search (NAS). Recent trends have seen a shift in favor of weight-sharing networks capable of superimposing all possible candidate architectures in a search space. Nevertheless, this technique is not beyond reproach, and has...
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Fall 2021
Climate change concerns have raised awareness about the importance of decarbonizing the power sector. In achieving such a goal, energy storage is a critical operation that is currently done using mostly fossil fuels as chemical energy storage. The only viable alternative is battery energy storage...
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Reinforcement Learning-Driven Local Transactive Energy Market for Distributed Energy Resources
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Technological breakthroughs in renewable power generation, battery storage, electric mobility, and advanced data logistics are changing the electric grid. The huge influx of distributed energy resources (DERs), while important to curb carbon emissions, is not without consequences. The highly...
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{Multi-Agent Deep Reinforcement Learning for Autonomous Energy Coordination in Demand Response Methods for Residential Distribution Networks
DownloadFall 2023
In the field of collaborative learning and decision-making, this thesis aims to explore the effects of individual and joint rewards on the performance and coordination of agents in complex environments. The research objectives encompass two main aspects: firstly, to determine the objective...