Various countries and communities are defining strategic energy plans driven by concerns related to climate change and security of energy supply. The long time horizon inherent to strategic energy planning requires uncertainty to be accounted for. Uncertainty classification consists in defining the type of uncertainty involved and quantifying it. It is needed as input for uncertainty and sensitivity analyses, and optimization under uncertainty applications. In this work we define a methodology for uncertainty classification for a typical strategic energy planning problem. As an example, the methodology is applied to some representative parameters
© 2018 Energy system optimization models (ESOMs) have been used extensively in providing insights to...
Deterministic models based on most likely forecasts can bring simplicity to the electricity power pl...
Uncertainty sources affect the planning and operation of energy systems. Different system operators ...
Concerns related to climate change and security of energy supply are pushing various countries to de...
Various countries and communities are defining or rethinking their energy strategy driven by concern...
Long-term planning for energy systems is often based on deterministic economic optimization and fore...
Long-term planning for energy systems is often based on deterministic economic optimization and fore...
Long-term planning for energy systems is often based on deter-ministic economic optimization and for...
The energy system studies include a wide range of issues from short term (e.g. real-time, hourly, da...
Endogenous and exogenous uncertainties exert significant influences on energy planning. In this stud...
Various countries and communities are defining strategic energy plans driven by concerns related to ...
With the introduction of new concepts in operation and planning of power systems, decision making is...
As the power system is becoming more weather-dependent and integrated to meet decarbonization target...
With the introduction of competition in the electric power industry, generation asset planning must ...
This paper investigates how the choice of stochastic approaches and distribution assumptions impacts...
© 2018 Energy system optimization models (ESOMs) have been used extensively in providing insights to...
Deterministic models based on most likely forecasts can bring simplicity to the electricity power pl...
Uncertainty sources affect the planning and operation of energy systems. Different system operators ...
Concerns related to climate change and security of energy supply are pushing various countries to de...
Various countries and communities are defining or rethinking their energy strategy driven by concern...
Long-term planning for energy systems is often based on deterministic economic optimization and fore...
Long-term planning for energy systems is often based on deterministic economic optimization and fore...
Long-term planning for energy systems is often based on deter-ministic economic optimization and for...
The energy system studies include a wide range of issues from short term (e.g. real-time, hourly, da...
Endogenous and exogenous uncertainties exert significant influences on energy planning. In this stud...
Various countries and communities are defining strategic energy plans driven by concerns related to ...
With the introduction of new concepts in operation and planning of power systems, decision making is...
As the power system is becoming more weather-dependent and integrated to meet decarbonization target...
With the introduction of competition in the electric power industry, generation asset planning must ...
This paper investigates how the choice of stochastic approaches and distribution assumptions impacts...
© 2018 Energy system optimization models (ESOMs) have been used extensively in providing insights to...
Deterministic models based on most likely forecasts can bring simplicity to the electricity power pl...
Uncertainty sources affect the planning and operation of energy systems. Different system operators ...