In view of the currently observed energy prices, recent price scenarios, which have been very moderate until 2004, also tend to favor high future energy prices. Having a large impact on energy-economic scenarios, we incorporate uncertain energy prices into an energy systems model by including a stochastic risk function. Energy systems models are frequently used to aid scenario analysis in energy-related studies. The impact of uncertain energy prices on the supply structures and the interaction with measures in the demand sectors is the focus of the present paper.For the illustration of the methodological approach, scenarios for four EU countries are presented. Including the stochastic risk function, elements of high energy price scenarios c...
The adoption of small-scale electricity generation has been hindered by uncertain electricity and ga...
Abstract — This paper proposes a stochastic model based on Monte-Carlo simulation to assess the expe...
Former generation capacity expansion models were formulated as optimization problems. These included...
Industries and companies recognize that increasing efficiency of energy use and/or implementing alte...
This thesis introduces stochastic elements into the TIMES-CZ energy system model focusing on the imp...
The future development of the energy sector is rife with uncertainties. They concern virtually the e...
The risks and uncertainty emanating from long-lived projects such as new large-scale power generatio...
We present deterministic and stochastic models for determining the optimal mix of different technolo...
Electricity production, delivery and trading developed from simple supply chains with one producer w...
This book successfully illustrates the modeling of electricity prices with the help of stochastic pr...
Scott, I. J., Carvalho, P. M. S., Botterud, A., & Silva, C. A. (2021). Long-term uncertainties in ge...
In the power and heat sectors, the uncertainty of energy and carbon prices plays a decisive role in ...
The future development of the energy sector is rife with uncertainties. They concern virtually the e...
AbstractOver the next decade, large energy investments are required in the UK to meet growing energy...
We present a single stage stochastic mixed integer linear model for determining the optimal mix of d...
The adoption of small-scale electricity generation has been hindered by uncertain electricity and ga...
Abstract — This paper proposes a stochastic model based on Monte-Carlo simulation to assess the expe...
Former generation capacity expansion models were formulated as optimization problems. These included...
Industries and companies recognize that increasing efficiency of energy use and/or implementing alte...
This thesis introduces stochastic elements into the TIMES-CZ energy system model focusing on the imp...
The future development of the energy sector is rife with uncertainties. They concern virtually the e...
The risks and uncertainty emanating from long-lived projects such as new large-scale power generatio...
We present deterministic and stochastic models for determining the optimal mix of different technolo...
Electricity production, delivery and trading developed from simple supply chains with one producer w...
This book successfully illustrates the modeling of electricity prices with the help of stochastic pr...
Scott, I. J., Carvalho, P. M. S., Botterud, A., & Silva, C. A. (2021). Long-term uncertainties in ge...
In the power and heat sectors, the uncertainty of energy and carbon prices plays a decisive role in ...
The future development of the energy sector is rife with uncertainties. They concern virtually the e...
AbstractOver the next decade, large energy investments are required in the UK to meet growing energy...
We present a single stage stochastic mixed integer linear model for determining the optimal mix of d...
The adoption of small-scale electricity generation has been hindered by uncertain electricity and ga...
Abstract — This paper proposes a stochastic model based on Monte-Carlo simulation to assess the expe...
Former generation capacity expansion models were formulated as optimization problems. These included...