Quantum Neural Networks for Solving Power System Transient Simulation Problem
Quantum computing, leveraging principles of quantum mechanics, represents a transformative approach in computational methodologies, offering significant enhancements over traditional classical systems. This study tackles the complex and computationally demanding task of simulating power system trans...
Saved in:
| Main Authors: | Mohammadreza Soltaninia, Junpeng Zhan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/10/2525 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Portal Dynamics Learning Method for Renewable-integrated Regional Power Networks Based on Neural Differential-Algebraic Equations
by: Bin CAO, et al.
Published: (2023-02-01) -
Variational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer
by: Niclas Schillo, et al.
Published: (2025-01-01) -
Generalized Buchdahl equations as Lie–Hamilton systems from the 'book' and oscillator algebras: quantum deformations and their general solution
by: Rutwig Campoamor-Stursberg, et al.
Published: (2025-03-01) -
Quantum global minimum finder based on variational quantum search
by: Mohammadreza Soltaninia, et al.
Published: (2025-04-01) -
Recursive dynamic state estimation for power systems with an incomplete nonlinear DAE model
by: Milos Katanic, et al.
Published: (2024-11-01)