Numerical Weather Data-Driven Sensor Data Generation for PV Digital Twins: A Hybrid Model Approach

Numerical Weather Data-Driven Sensor Data Generation for PV Digital Twins: A Hybrid Model Approach

With the growing global emphasis on environmental protection policies, renewable energy generation systems have become widely adopted. In particular, photovoltaic (PV) systems have gained popularity for their ease of management, while digital twin (DT) systems are being developed to enable real-time...

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Bibliographic Details
Main Authors: Jooseung Lee, Jimyung Kang, Sangwoo Son, Hui-Myoung Oh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
digital twin
energy AI
generative adversarial network (GAN)
photovoltaic
renewable energy
Online Access:https://ieeexplore.ieee.org/document/10824779/
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