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Skip to Search Results- 5Petr Musilek
- 2Akhtar Hussain
- 2Nazli Kazemi
- 1Mohammad Abdolrazzaghi
- 1Mohammed Al Saffar
- 1Peter E Light
- 2machine learning
- 2microwave sensor
- 1Battery energy storage
- 1Building demand management
- 1CycleGAN
- 1Deep reinforcement learning
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Distributed Optimization for Distribution Grids with Stochastic DER using Multi-Agent Deep Reinforcement Learning
Download2021-04-01
Mohammed Al Saffar, Petr Musilek
This article develops a special decomposition methodology for the traditional optimal power flow which facilitates optimal integration of stochastic distributed energy resources in power distribution systems. The resulting distributed optimal power flow algorithm reduces the computational...
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Energy management of buildings with energy storage and solar photovoltaic: A diversity in experience approach for deep reinforcement learning agents
Download2024-01-01
Deep reinforcement learning (DRL) is a suitable approach to handle uncertainty in managing the energy consumption of buildings with energy storage systems. Conventionally, DRL agents are trained by randomly selecting samples from a data set, which can result in overexposure to some data...
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2022-11-01
In this work, a microwave planar sensor is used for liquid material characterization. Two identical complementary split-ring resonators operating at 3 GHz are coupled to create a highly sensitive capacitive region. The moderate quality factor of the sensor ~230 is significantly improved up to...
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In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities
Download2023-09-14
Nazli Kazemi, Mohammad Abdolrazzaghi, Peter E Light, Petr Musilek
Continuous glucose monitoring schemes that avoid finger pricking are of utmost importance to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a microwave planar sensing platform as a potent sensing technology that extends its applications to biomedical analytes. In...
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Local demand management of charging stations using vehicle-to-vehicle service: A welfare maximization-based soft actor-critic model
Download2023-09-03
Akhtar Hussain, Van-Hai Bui, Petr Musilek
Transportation electrification has the potential to reduce carbon emissions from the transport sector. However, the increased penetration of electric vehicles (EVs) can potentially overload the distribution systems. This becomes prominent in locations with multiple EV chargers and charging...