AI-Driven Advanced Process Control for Smart Energy Systems

Dear Colleagues,

The rapid advancement of industrial automation and digital transformation has driven the need for intelligent algorithms that can address the growing complexity, uncertainty, and dynamic nature of modern process control systems. Applications span chemical and petrochemical processes, power and energy systems, including high-voltage direct current transmission (HVDC), optimal power flow, renewable integration, and the intelligent management of electric mobility charging networks, as well as advanced manufacturing and environmental engineering. Future process control will involve large-scale, interconnected systems with nonlinear dynamics, model-free and data-driven methods, and advanced controller monitoring. Emphasis will be placed on sustainability, energy efficiency, and the integration of artificial intelligence and machine learning for resilient, adaptive, and self-optimizing operations. This Special Issue focuses on novel theories, methods, and applications of intelligent algorithms for advanced process control, bridging computational innovation with practical deployment in industrial, power, and sustainable transportation systems. Topics of interest include, but are not limited to, the following:

• Intelligent optimization methods for process control;
• Model-free, data-driven, and predictive control strategies;
• Control of nonlinear and large-scale industrial, power, and HVDC systems;
• Optimal power flow modeling, analysis, and control in modern grids;
• Controller monitoring, performance assessment, and fault-tolerant control;
• System identification, modeling, and real-time decision-making;
• Sustainability and energy-efficient control solutions;
• Intelligent coordination of renewable integration and electric vehicle networks;
• Fault detection, diagnosis, and adaptive control;
• Applications in chemical, energy, manufacturing, and environmental processes.

Dr. Jingbo Wang
Prof. Dr. Bo Yang
Dr. Yiyan Sang
Guest Editors

Manuscript Submission Information

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