Technical Tracks

Topics of interest regarding the research related to the electric world are divided into four main technical areas. These include but are not limited to:

Technical Track 1 (TT1): Modelling, Simulation and Identification

Topics: diagnostics in electrical systems; modelling methods and software development; modelling and simulation of power systems, power electronics and drives, distributed generating systems, electric machines and transformers, batteries and fuel cell systems, electromagnetic fields and compatibility, and emerging electric technologies; simulation methodologies for design and analysis of electromagnetic devices; stochastic modelling; and thermal problems.

Track chairs: E. Pérez (Spain); M. C. Di Piazza (Italy); C. Dufour (Canada)



Technical Track 2 (TT2): Systems’ Design and Optimization

Topics: system identification and optimization methods and theory; computer-aided design and optimization of power converters, protections, energy storage systems, electric machines, power systems; multiphysics issues; power system and power converter architectures; methods and techniques for energy management.

Track chairs: R. Vidal (Spain); B. Sareni (France); P. Manganiello (Italy)



Technical Track 3 (TT3): Control and Power Management

Topics: optimal control; stochastic control and filtering; linear and nonlinear control systems; linear and nonlinear programming; digital implementation and control; feedback control; real time simulation methods; use of hardware in the loop (HIL) emulation of electrical systems; embedded systems; fuzzy logic and applications; genetic algorithms and evolutionary computing; model predictive control; robust control; sliding mode control; networked control systems; identification/diagnostic/prognostic techniques applied to electrical systems; and power quality.

Track chairs: I. Peñarrocha (Spain); M.-W. Naouar (Tunisia); S. Katsura (Japan)



Technical Track 4 (TT4): Numerical Methods and Machine Learning

Topics: artificial intelligence’s potential to boost electrical systems performance; electrical market variables pattern recognition; energy storage systems degradation analysis; renewable energy generation and electric demand forecast; applications in electric vehicles; estimation of state-of-charge and state-of-health in batteries; signal modelling; robot locomotion; electrical systems’ parameter identification; energy flows prediction; and electrical faults forecasting.

Track chairs: E. Sansano (Spain); M. Benbouzid (France); S. Jemeï (France)