Electromobility has achieved a significant breakthrough in recent years, and numerous studies have been carried out in this field. However, the focus has mainly been on technical aspects, and current economic analyses and derived policy implications are based on these technical aspects. With the...

This paper estimates the welfare-optimal market share of wind and solar power, explicitly taking into account their output variability. We present a theoretical valuation framework that consistently accounts for output variability over time, forecast errors, and the location of generators in the...

The income that wind and solar power receive on the market is affected by the variability of their output. At times of high availability of the primary energy source, they supply electricity at zero marginal costs, shift the supply curve (merit-order curve) to the right and thereby reduce the...

In recent years, power flows in many European transmission and distribution networks have increased, making the management of network congestion a much-debated - and increasing politicized - topic. This paper is an introduction to and a review of congestion management in European electricity...

Classical spatial autoregressive models share the same weakness as the classical linear regression models, namely it is not possible to estimate non-linear relationships between the dependent and independent variables. In the case of classical linear regression a semi-parametric approach can be...

This paper presents a comparative assessment of two distinct urban growth modeling approaches. The first urban model uses a traditional Cellular Automata methodology, based on Markov transition chains to prospect probabilities of future urban change. Drawing forth from non-linear cell dynamics,...