Add to ORKGdynamical uncertainty models for estimation of uncertainty bounds on power plant performance predictio
We present an approach to uncertainty propagation in dynamic systems, exploiting information provide...
The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. I...
Power system states are not accurately known ahead of real time and are subject to natural variabili...
Predicting the performance of large scale plants can be difficult due to model uncertainties etc, me...
Abstract—Prediction of the future performance of large-scale power plants can be very relevant for t...
This paper presents a method for prediction of uncertain closed loop systems, where the uncertaintie...
Udgivelsesdato: JanPrediction of the future performance of large-scale power plants can be very rele...
Abstract — Prediction of the performance of plants like power plants is of interest, since the plant...
Prediction of the performance of plants like power plants is of interest, since the plant operator c...
Abstract—Parameters of power system models, in particular load models, are seldom known exactly, yet...
We present an approach to uncertainty propagation in dynamic systems, exploiting information provide...
Electrical distribution grids are undergoing radical changes. The increased penetration of distribut...
Many industrial applications include model parameters for which precise values are hardly available....
This report attempts to document the broad scope of issues that must be satisfactorily resolved befo...
A probabilistic approach is proposed to manage uncertainty when dealing with estimation within dynam...
We present an approach to uncertainty propagation in dynamic systems, exploiting information provide...
The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. I...
Power system states are not accurately known ahead of real time and are subject to natural variabili...
Predicting the performance of large scale plants can be difficult due to model uncertainties etc, me...
Abstract—Prediction of the future performance of large-scale power plants can be very relevant for t...
This paper presents a method for prediction of uncertain closed loop systems, where the uncertaintie...
Udgivelsesdato: JanPrediction of the future performance of large-scale power plants can be very rele...
Abstract — Prediction of the performance of plants like power plants is of interest, since the plant...
Prediction of the performance of plants like power plants is of interest, since the plant operator c...
Abstract—Parameters of power system models, in particular load models, are seldom known exactly, yet...
We present an approach to uncertainty propagation in dynamic systems, exploiting information provide...
Electrical distribution grids are undergoing radical changes. The increased penetration of distribut...
Many industrial applications include model parameters for which precise values are hardly available....
This report attempts to document the broad scope of issues that must be satisfactorily resolved befo...
A probabilistic approach is proposed to manage uncertainty when dealing with estimation within dynam...
We present an approach to uncertainty propagation in dynamic systems, exploiting information provide...
The profitability of power plant investments depends strongly on uncertain fuel and carbon prices. I...
Power system states are not accurately known ahead of real time and are subject to natural variabili...