The objective of this research is to obtain a DT of a PSFV using an autoencoder architecture, which has the aim of detecting anomalies in the system.
Digital Twins in Solar Farms: An Approach through Time Series and Deep Learning. Language: English; Authors: Arafet, Kamel1 (AUTHOR) [email protected]. Berlanga ...
May 18, 2021 · The generation of electricity through renewable energy sources increases every day, with solar energy being one of the fastest-growing.
People also ask
What are the 4 types of digital twins?
What algorithm is used in digital twin technology?
Which is the three key concepts of digital twins?
What are the three levels of the digital twin?
Mar 26, 2024 · This paper elucidates the key concept of such virtual and digital systems concerning the smart grid. Moreover, the capabilities and applications ...
This work develops a digital-twin model to track and optimize the flow of incoming solar power through a complex solar-thermal storage system.
Missing: Series | Show results with:Series
[PDF] A digital-twin and machine-learning framework for the design of ...
msol.berkeley.edu › 2021/06
This work develops a computational Digital-Twin framework to track and optimize the flow of solar power through complex, multipurpose, solar farm facilities, ...
Missing: Series Deep
from publication: Digital Twins in Solar Farms: An Approach through Time Series and Deep Learning | The generation of electricity through renewable energy ...
Dec 1, 2023 · This paper presents a systematic literature review on the application of digital twins in the energy sector.
Oct 1, 2023 · The digital twin is developed by integrating the Lidar measurements, the Navier–Stokes equations, and the turbine modeling using actuator disk method, via ...
Jul 6, 2024 · This article reviews the Digital Twin (DT) concept and the interest of its application in photovoltaic installations.