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Found 3 papers, 1 papers with code
Measurement-based/Model-less Estimation of Voltage Sensitivity Coefficients by Feedforward and LSTM Neural Networks in Power Distribution Grids
This work focuses on measurement-based estimation of the voltage sensitivity coefficients which can be used for voltage control.
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education
Gym-ANM is a Python package that facilitates the design of reinforcement learning (RL) environments that model active network management (ANM) tasks in electricity networks.
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems
In this work, we introduce Gym-ANM, a framework for designing reinforcement learning (RL) environments that model ANM tasks in electricity distribution networks.
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