Jose Fidalgo

Key words:

Power system dynamics, Load forecasting, Renewable energy, Control systems, Artificial Intelligence

Unlisted key words:
Neural networks, spacial load forecasting, feature selection

Research description:

Current research
- Feature selection methodology for the identification of the most significant variables of a isolated power system with renewables.
- Application of evolutionary computation and distributed agents technology to the voltage colapse problem and reactive power optimization.

Last five years:
- Load forecasting at primary substations feeders, dealing with MV reconfiguration, holidays and special days, noise filtering, etc
- Estimation of load diagrams and error bars based on consumers commercial characteristics (hired power, consumer type,...), monthly energy consumption, weekday/weekend and season of the year.
- Dynamic seurity assessment of isolated power systems with wind production

Laboratory facilities:

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