Digital Twins and Applications征稿：数字孪生及其在能源与电力系统中的应用

在能源低碳化、可再生能源并网与智能电网现代化建设的推动下，数字孪生技术已成为应对能源系统复杂性的关键工具。该技术通过融合实时数据分析、物联网与人工智能，实现对能源电力系统的精准模拟、监测与预测控制。

本期特刊聚焦数字孪生在提升能源系统效能、可靠性与可持续性方面的前沿应用，征集涵盖创新方法论、案例研究与实践综述的投稿。重点议题包括动态负荷平衡、资产全生命周期管理、信息物理系统安全等数字孪生解决方案，以助力全球智慧能源转型。

• DT Applications in Energy Management;

• Real-time monitoring and prediction of energy resources;

• Optimization of energy allocation and efficiency enhancement;

• Forecasting and strategic responses to energy market fluctuations;

• DT Applications in Power Systems;

• Smart grid construction and operational optimization;

• Management of renewable energy microgrids;

• Load forecasting and management;

• Electricity-carbon measurement and monitoring;

• Core Algorithms and Models for DT Technology;

• Data-driven situation awareness and predictive maintenance for energy/power systems;

• Device/system-level optimization via data-adaptive regulation;

• Virtual scenario testing and contingency planning in twin systems;

• Challenges and Future Outlook;

• Technical hurdles in energy/power DT implementations and solutions;

• Case studies of DT-driven power systems and microgrids;

• Emerging trends and prospects for DT technology.

📌本期特刊截稿日期：

Sunday, 30 November 2025

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期刊简介

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