Solving Nonlinear Energy Supply and Demand System Using Physics-Informed Neural Networks
Nonlinear differential equations and systems play a crucial role in modeling systems where time-dependent factors exhibit nonlinear characteristics. Due to their nonlinear nature, solving such systems often presents significant difficulties and challenges. In this study, we propose a method utilizin...
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Main Authors: | Van Truong Vo, Samad Noeiaghdam, Denis Sidorov, Aliona Dreglea, Liguo Wang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Computation |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-3197/13/1/13 |
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