APPLIED ELECTROMAGNETISM

The Applied Electromagnetism research group focuses on the theoretical and experimental study of electromagnetic fields and circuits, dedicating efforts to the analysis of innovative electromagnetic and electromechanical devices.

The research activities undertaken by the group include the following:

• Advanced modeling of electromagnetic and electromechanical devices using both commercial software and tools developed in-house at DESTEC.
• Wireless Power Transfer (WPT) systems: performance optimization, power and data transfer, and shielding techniques.
• Electromagnetic launchers and linear motors: study and design for various applications.
• Magnetorheological fluids: modeling techniques and study of innovative devices utilizing magnetorheological fluids.
• Power Line Communication (PLC): advanced channel modeling, noise characterization, and real-time channel estimation.

Another significant aspect of the group's research involves the development and application of advanced Machine Learning algorithms. Key research activities in this area include:

• Machine Learning in Electromagnetics: development of computational methods for electromagnetic fields in devices using Machine Learning techniques and hybrid methods.
• Optimization: development of optimization algorithms and the use of AI algorithms for optimizing electromagnetic devices.
• Signal analysis for diagnostics: applying AI techniques for predictive diagnostics and monitoring in solar photovoltaic, wind, and hydroelectric generation plants, as well as in railway transportation systems.
• Forecasting: advanced AI algorithms for forecasting (short-term and real-time) electrical load, electricity prices, and renewable energy generation from non-dispatchable sources, both at the individual plant level and for broader market areas.
• Smart Grids: development of AI and machine learning algorithms to enhance the management and operation of the electrical system.
• Theoretical development of methodologies: definition of innovative neural network architectures and optimization techniques.