Artificial intelligence techniques in smart grid: A survey

OA Omitaomu, H Niu - Smart Cities, 2021 - mdpi.com
The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …

Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect

E Esenogho, K Djouani, AM Kurien - Ieee Access, 2022 - ieeexplore.ieee.org
Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …

[HTML][HTML] A comprehensive review on the role of artificial intelligence in power system stability, control, and protection: Insights and future directions

I Alhamrouni, NH Abdul Kahar, M Salem, M Swadi… - Applied Sciences, 2024 - mdpi.com
This review comprehensively examines the burgeoning field of intelligent techniques to
enhance power systems' stability, control, and protection. As global energy demands …

Review on interpretable machine learning in smart grid

C Xu, Z Liao, C Li, X Zhou, R **e - Energies, 2022 - mdpi.com
In recent years, machine learning, especially deep learning, has developed rapidly and has
shown remarkable performance in many tasks of the smart grid field. The representation …

AI-Driven urban energy solutions—from individuals to society: a review

K Stecuła, R Wolniak, WW Grebski - Energies, 2023 - mdpi.com
This paper provides a comprehensive review of solutions based on artificial intelligence (AI)
in the urban energy sector, with a focus on their applications and impacts. The study …

Impact of high PV penetration on the inter-area oscillations in the US eastern interconnection

S You, G Kou, Y Liu, X Zhang, Y Cui, MJ Till… - IEEE …, 2017 - ieeexplore.ieee.org
This study explores the impact of high-photovoltaic (PV) penetration on the inter-area
oscillation modes of large-scale power grids. A series of dynamic models with various PV …

Data-driven security and stability rule in high renewable penetrated power system operation

N Zhang, H Jia, Q Hou, Z Zhang, T **a… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Power systems around the world are experiencing an energy revolution that substitutes
fossil fuels with renewable energy. Such a transition poses two significant challenges: highly …

Using SHAP values and machine learning to understand trends in the transient stability limit

RI Hamilton, PN Papadopoulos - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
Machine learning (ML) for transient stability assessment has gained traction due to the
significant increase in computational requirements as renewables connect to power …

[HTML][HTML] Universal workflow of artificial intelligence for energy saving

D Lee, YT Chen, SL Chao - Energy Reports, 2022 - Elsevier
Artificial intelligence (AI) controls are commonly used to save energy. However, excessive
diversity in technological development has resulted in the inability to provide consistent …

Applications of artificial intelligence in distribution power system operation

S Stock, D Babazadeh, C Becker - IEEE access, 2021 - ieeexplore.ieee.org
Due to the energy transition and the distribution of electricity generation, distribution power
systems gain a lot of attention as their importance increases and new challenges in …