A stochastic deep reinforcement learning agent for grid-friendly electric vehicle charging management
Abstract Electrification of the transportation sector provides several advantages in favor of climate protection and a shared economy. At the same time, the rapid growth of electric vehicles also demands innovative solutions to mitigate risks to the low-voltage network due to unpredictable charging...
Main Authors: | Charitha Buddhika Heendeniya, Lorenzo Nespoli |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-09-01
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Series: | Energy Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42162-022-00197-5 |
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