Sep 2026· Journal of Renewable and Sustainable Energy· Vol 18· 0 citations· 114 references
TL;DR
This paper comprehensively reviews large language models applications in renewable power systems and identifies major challenge dimensions and proposes a defence framework with endogenous security to promote the development of smarter and safer smart grids.
Abstract
The growing complexity and data intensity of modern renewable power systems demand advanced artificial intelligence solutions capable of supporting intelligent, adaptive, and resilient grid operations. Large language models based on transformers can deliver substantial support in multiple areas of renewable power systems. At the same time, their deployment introduces new challenges and threats that must be addressed proactively. This paper comprehensively reviews large language models applications in renewable power systems and identifies major challenge dimensions. Based on the integrated consideration of deployment applications and security defence, we propose a defence framework with endogenous security to promote the development of smarter and safer smart grids.
The rapid development of smart grid infrastructure has transformed power generation and transmission, supporting bidirectional energy flow, decentralized energy systems and real-time monitoring. These developments encounter challenges in securing smart grids against evolving cyberattacks. In this paper, we present a re...
Eashwar Sivakumar, G. Ganesan, R. Premkumar et al.· Discover Computing· 0 citations
Climate change, increasing renewable-energy penetration, and the growing dependence of power networks on digital and smart assets are changing the conditions under which power system security must be assessed and maintained. This paper presents a critical review of deterministic, probabilistic, risk-based, and intellig...
Mohammed Abdullah Alsulami, Dilan Jayaweera· Journal of Renewable and Sus...· 0 citations
This study presents a Systematic Literature Review of methods and challenges related to distinguishing cybersecurity attacks and safety faults in Distributed Energy Resources (DER)-rich smart grids, with a particular focus on approaches that could support the differentiation of malicious and non-malicious events.
Fabien Sechi, Nadia Saad Noori, Charu Sharma et al.· International Journal of Inf...· 0 citations
Modern power grids are evolving into highly interconnected cyber-physical systems (CPSs), enabling advanced monitoring, automation, and control. While these innovations improve efficiency and reliability, they also introduce new vulnerabilities. A well-devised single cyberattack can cascade across the grid, disrupting...
Nitasha Sahani, Chen-Ching Liu, Jidapa Chalermkit et al.· IEEE Power and Energy Magazi...· 0 citations
Simulation results indicate that the proposed framework improves attack detection accuracy, reduces economic losses, and enhances system resilience relative to conventional deterministic protection approaches.
