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Digital twin of wind farms via physics-informed deep learning
Author(s):
Jincheng Zhang
,
Xiaowei Zhao
Publication date
Created:
October 2023
Publication date
(Print):
October 2023
Journal:
Energy Conversion and Management
Publisher:
Elsevier BV
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Computer Vision, Deep Learning, Deep Reinforcement Learning, IoT
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Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations
M. Raissi
,
P Perdikaris
,
G.E. Karniadakis
(2019)
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Physics-informed machine learning
George Em Karniadakis
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Ioannis G Kevrekidis
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Lu Lu
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(2021)
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Digital Twin in Industry: State-of-the-Art
Fei Tao
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He Qing Zhang
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Ang Liu
…
(2019)
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Author and article information
Contributors
Jincheng Zhang:
(View ORCID Profile)
Journal
Title:
Energy Conversion and Management
Abbreviated Title:
Energy Conversion and Management
Publisher:
Elsevier BV
ISSN (Print):
01968904
Publication date Created:
October 2023
Publication date (Print):
October 2023
Volume
: 293
Page
: 117507
Article
DOI:
10.1016/j.enconman.2023.117507
SO-VID:
426f198e-6db9-4835-b4a8-8a0c4c4876b6
Copyright ©
© 2023
License:
https://www.elsevier.com/tdm/userlicense/1.0/
http://creativecommons.org/licenses/by/4.0/
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