AI-Driven Advanced Process Control for Smart Energy Systems
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: 30 March 2026 | Viewed by 35
Special Issue Editors
Interests: renewable energy system optimization and control; power sector decarbonization
Interests: renewable energy power generation systems; optimization and control; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- intelligent process control
- artificial intelligence
- model-free control
- data-driven control
- nonlinear systems
- HVDC and optimal power flow
- renewable and electric vehicles
- controller monitoring
- sustainable control solutions
- real-time decision-making
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