This paper develops a model of a profit maximizing firm with the option to exploit a non-renewable resource, choosing the timing and pace of development. The resource price is modelled as a regime switching process, which is calibrated to oil futures prices. A Hamilton-Jacobi-Bellman equation is...

This paper proposes an extended version of the analytical structural model for the electricity market developed in a previous paper. The presented electricity price process is driven by stochastic load and random plant availability as well as stochastic marginal generation cost factors embedded...

This paper presents an analytical structural model for the electricity price process driven by stochastic load as well as stochastic marginal generation costs in a multi-fuel stack framework covering the entire fuel switch dynamics. Moreover, the random character of available generation capacity...

The European electricity system is undergoing significant changes, not only with respect to developments in generation and networks but also the arrangements for the operation of the system. These are specified in the Network Codes endorsed by regulators, network operators and the European...

This article investigates mean risk hedging with respect to limited liquidity and studies the impact of different risk measures on the hedging strategies. For motivation and application purposes hedging in electricity markets is chosen, because the relevant hedging markets are characterized by...

Detailed numerical models of power markets with millions of variables and equations are often perceived as black boxes, because differences in results cannot be traced back to single equations or assumptions, respectively. We unravel parts of those black box by determining the impact of...

The economics of CO2 capture and storage in relation to the possibility of significant leakage of CO2 from geological reservoirs once this greenhouse gas has been stored artificially underground will be among the main determinants of whether CCS can significantly contribute to a deep cut in...

Large water demands by the mining industry are of increasing concern around the world. The cost of a specific water management regulation is studied for an oil sands mining operation in Canada, where restrictions on water withdrawals vary with fluctuations in the river. A stochastic optimal...

Detailed numerical models of power markets with millions of variables and equations are often perceived as black boxes, because differences in results cannot be traced back to single equations or assumptions, respectively. We unravel parts of those black box by determining the impact of...

The main purpose of this article is to present the use of R programming language in cartographic visualization demonstrating using machine learning methods in geographic education. Current trends in education technologies are largely influenced by the possibilities of distance-learning,...