[HTML][HTML] A review of scalable and privacy-preserving multi-agent frameworks for distributed energy resources

X Huo, H Huang, KR Davis, HV Poor, M Liu - Advances in Applied Energy, 2024 - Elsevier
Distributed energy resources (DERs) are gaining prominence due to their advantages in
improving energy efficiency, reducing carbon emissions, and enhancing grid resilience …

[HTML][HTML] A dimension-enhanced residual multi-scale attention framework for identifying anomalous waveforms of fault recorders

L Jia, L Feng, D Wang, J Jiang, G Wang… - International Journal of …, 2025 - Elsevier
The continuous introduction of technologies such as distributed generation, wind power, and
photovoltaic energy poses challenges to identifying abnormal waveforms in power …

Solving industrial fault diagnosis problems with quantum computers

A Diedrich, S Windmann, O Niggemann - Quantum Machine Intelligence, 2024 - Springer
In this article, we investigate in how far quantum computers can be leveraged to solve NP-
complete fault diagnosis problems within the area of industrial cyber-physical systems …

Noisy-intermediate-scale quantum power system state estimation

F Feng, P Zhang, Y Zhou, YA Shamash - iEnergy, 2024 - ieeexplore.ieee.org
Quantum power system state estimation (QPSSE) offers an inspiring direction for tackling the
challenge of state estimation through quantum computing. Nevertheless, the current …

[CITAT][C] Application of quantum computing in power system optimization: a new method to improve grid efficiency

JJ Pan, H Zhu, S Zhu, H Wang, K Tang - SPIN, 2025 - World Scientific
The quick development of power systems and the growing need for grid stability and energy
efficiency have placed a lot of strain on conventional optimization techniques. Quantum …