DeepTwin: A Deep Reinforcement Learning Supported Digital Twin Model for Micro-Grids

DeepTwin: A Deep Reinforcement Learning Supported Digital Twin Model for Micro-Grids

This paper presents the development and application of a Digital Twin (DT) model for the optimization of micro-grid operations. With the increasing integration of renewable energy resources (RERs) into power grids, micro-grids are essential for enhancing grid resilience and sustainability. The propo...

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Bibliographic Details
Main Authors: Erol Ozkan, Ibrahim Kok, Suat Ozdemir
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning (DRL)
digital twin (DT)
energy management system (EMS)
Internet of Things (IoT)
micro-grids
optimization
Online Access:https://ieeexplore.ieee.org/document/10811923/
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https://ieeexplore.ieee.org/document/10811923/

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