Advanced Learning Techniques toward Reliable, Resilient, and Sustainable Intelligent Systems
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Engineering".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 593
Special Issue Editor
2. Design and Optimization of Energy Systems (DOES) Laboratory, The University of Texas at Dallas, Richardson, TX 75080, USA
Interests: power system operation; renewable energy sources; cybersecurity analysis; machine learning; smart grids
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, many advanced techniques, e.g., advanced machine/deep learning techniques and evolutionary algorithms, have been developed and adopted that can be combined with advanced technologies, e.g., the Internet of Things (IoT) and Blockchain technologies that not only decrease the total operation cost of systems but also increase sustainability, security, privacy, reliability, resiliency, and efficiency of the intelligent networks. In this Special Issue, we plan to investigate the role of advanced techniques and technologies toward reliable, resilient, and sustainable intelligent systems, especially in the energy and healthcare area. To this end, the main topics of this Special Issue include but are not limited to:
- Learning-based energy management, control, and forecasting in intelligent energy systems;
- Learning-based application of advanced machine/deep learning in energy management;
- Advanced machine/deep learning-based techniques in cyber/physical attacks detection and mitigation in intelligent systems;
- Application of evolutionary computing in intelligent systems;
- Machine/deep-learning-based renewable energies monitoring and forecasting;
- Learning-based anomaly detection in intelligent systems ;
- Application of deep learning and evolutionary computing in transportation systems;
- Smart deep learning-based charging methods for vehicle-to-grid (V2G) communication and control.
Dr. Morteza Dabbaghjamanesh
Guest Editor
Manuscript Submission Information
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Keywords
- advanced machine learning techniques
- advanced evolutionary techniques
- intelligent systems
- IoT
- blockchain
