Jose Fidalgo
- Fac. Engenharia do Porto
- Rua Roberto Frias, s/n
-
- Porto,
- Portugal
- 4200-465
- Telephone: +351222094224
- Fax: +351222084172
- Email address: jfidalgo@inescn.pt
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:
Return to University Research Capability