Abstract
Stochastic model predictive control for energy management of isolated power systems.
Auto-regressive Quantile Regression Forests for irregular events prediction.
Optimal system operation under load steps variations and wind power trend reversals.
Minimization of battery degradation, gas turbines ON/OFF commands and dumped energy.
Auto-regressive Quantile Regression Forests for irregular events prediction.
Optimal system operation under load steps variations and wind power trend reversals.
Minimization of battery degradation, gas turbines ON/OFF commands and dumped energy.