IET Smart Grid 两本特刊征稿

• Uncertainty in the Electricity Based Digitalized Energy Systems

• AI-driven threat detection and response for smart grids

• Blockchain-based security frameworks for CPS

• Resilient architectures and self-healing grid mechanisms

• Cyberattack modelling, risk assessment, and mitigation strategies

• Secure communication protocols for smart grid networks

• Integration of advanced cryptographic techniques in CPS security

• Real-world case studies on cyber-physical security in energy systems

• Protection and recovering strategies, including black start methods

• Resiliency, Reliability, and Security of Cyber‐Physical Power System

• Vulnerabilities of Machine Learning Algorithms to Adversarial Attacks for Cyber‐Physical Power Systems

• Blockchain‐Based Energy Trading Employing Hyperledger and Anomaly Detection Algorithms

• Resilient Control Strategies for Cyber-Physical Energy Systems

• Data-Driven Strategies for Cyber-Physical Energy Systems

📌 本期特刊截稿日期：

Tuesday, 30 June 2026

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• Advanced modeling, forecasting, and uncertainty quantification using DL in smart grid environments;

• DL-based control and automation for dynamic stability, voltage regulation, and frequency control;

• DL-driven optimal dispatch, demand-side coordination, and energy management strategies;

• Enhancing smart grid reliability, resilience, and operational security through DL techniques;

• DL applications for cyber-physical security: threat detection, anomaly identification, and automated incident response;

• Applications of Large Language Models (LLMs) and generative DL in smart grid operations, decision support, and human-AI collaboration.

📌 本期特刊截稿日期：

Tuesday, 30 June 2026

📤  欢迎分享给你的研究群组、学生、合作伙伴～

期刊简介

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