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About Demand-Side Management Using Deep Learning For Smart Charging of Electric Vehicles
This document proposes using machine learning tools like deep neural networks to determine when to charge electric vehicles during charging sessions in order to minimize energy costs. It first uses dynamic programming to calculate optimal charging solutions based on historical data. Then it trains machine learning models on that historical data and optimal solutions to learn how to make real-time charging decisions without knowing future energy prices or vehicle usage. Evaluation shows that a properly trained deep neural network can significantly reduce charging costs, often approaching the optimal costs from dynamic programming, while not requiring knowledge of the future like dynamic programming does.
Detailed Information
Author: | ['New India'] |
---|---|
Publication Year: | 2020 |
Pages: | 9 |
Language: | English |
Format: | |
Price: | FREE |
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