Call for papers: Special Issue of The Knowledge Engineering Review on Toward Next-Generation Smart Energy

Call for papers: Special Issue of The Knowledge Engineering Review on 
Toward Next-Generation Smart Energy

*Introduction
*
Guided by the vision of low-carbon and safety-oriented intelligent 
optimization and control of energy processes, this special 
issue—Enabling Smart Energy Transformation: Intelligent Technologies, 
Knowledge and Digital Systems, and Modelling—invites research and 
practice that focus on intelligent energy engineering that enable smart 
energy transformation, covering domains of oil and gas (smart drilling, 
intelligent surface facilities, field development, etc.), renewables 
(wind/solar forecasting, asset health, inverter and plant control, grid 
integration, etc.), and electric power (situational awareness, 
protection, stability control, flexibility scheduling, etc.). We welcome 
submissions that apply intelligent and AI-based approaches to address 
key challenges in these fields.

*Topics of interest include, but are not limited to:*
· Machine learning and deep learning for forecasting, soft sensing, 
pattern recognition, and anomaly detection
· Fault diagnosis, prognostics, and predictive maintenance
· Reinforcement learning and closed-loop decision-making for process 
control and operations
· Advanced process control and optimization
· Physics-informed learning and mechanistic–data fusion
For more information,please visit: 
https://www.maxapress.com/ker/specials/158

*Guest Editors: *
Dr. Dong Xiao, Southwest Petroleum University, China
Dr. Li Yang, China University of Mining and Technology, China
Dr. Hongwei Yang, China University of Petroleum-Beijing, China
Dr. Li Yang, Southwest Petroleum University, China

*Submission deadline*: December 31, 2026
*Submission System*: https://mc.manuscriptcentral.com/ker
Please feel free to reach out if you require any further information. We 
look forward to receiving your high-quality submission and would 
appreciate it if you could also share this call within your research 
network or potential contributors.


Learn more at https://www.maxapress.com/ker
Submission System: https://mc.manuscriptcentral.com/ker
Contact us: ker@maxapress.com