Application of Adaptive Control, Fault Detection and Deep Learning in Electrical Engineering

Dear Colleagues,

The growing global population and rising energy demands are driving significant advancements in electrical systems, which must adapt to meet these challenges. To ensure optimal performance, modern control mechanisms are essential. Adaptive controllers represent a remarkable advancement in this area, as they can autonomously adjust their parameters to handle system uncertainties, offering improved resilience compared to traditional linear controllers. This self-regulation capability has made adaptive controllers a key focus of both theoretical and practical research. Similarly, fault detection and prediction have been transformed by artificial intelligence (AI), shifting from labor-intensive manual data analysis to more efficient, automated methods. AI-driven approaches, including machine learning, now enable precise and timely fault detection, enhancing system reliability and reducing the need for human intervention. Moreover, the rise of big data in the power industry has accentuated the value of deep learning, which excels in processing and analyzing large datasets. This synergy of adaptive control, AI-based fault detection, and deep learning is driving innovation and shaping the future of electrical engineering, leading to smarter, more efficient, and reliable systems.

This Special Issue on “Application of Adaptive Control, Fault Detection and Deep Learning in Electrical Engineering” aims to cover recent advances in the applications of adaptive control, fault detection and deep learning in electrical engineering. Topics include, but are not limited to, methods and/or application in the following areas:

• Smart grids and energy management;
• Electric vehicle (EV) systems;
• Renewable energy integration;
• Robotics and industrial automation;
• HVAC (heating, ventilation, and air conditioning) systems;
• Power electronics and drives;
• Microgrids and distributed energy resources (DERs);
• Aerospace and defense systems;
• Biomedical engineering;
• Power distribution networks;
• Battery energy storage systems (BESSs);
• Smart metering and load forecasting;
• Control systems and artificial intelligence.

Dr. Stephen Oladipo
Dr. Sheng Yang
Guest Editors

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