Electricity price forecasting has become an area of increasing relevance in recent years. Despite the growing interest in predictive algorithms, the challenges are difficult to overcome given the restricted access to relevant data series and the lack of accurate metrics. Multiple models have...

Employing a quantile regression model, we investigate the impact of renewable sources on their unit revenues (absolute cannibalization) and value factors (relative cannibalization), as well as the cross-effect between technologies. The results indicate that an increase in wind and solar share...

In this paper, we develop a market screening model to detect inconstancies in price changes. Although there is a long history of industrial organization research of collusion, price setting behavior, and conduct - a robust model to detect structural changes in market structure was missing so...

This paper contributes to the ongoing discussion on price formation in electricity markets. For this, we conduct an analysis of the German electricity wholesale spot market which is located at the European Energy Exchange (EEX). Our dataset covers three spot market segments, namely the intraday...

This paper analyzes the valuation of day-ahead Physical Transmission Rights (PTRs) on the German-Dutch interconnector. From a financial perspective, PTRs are options written on the difference between the German and Dutch hourly electricity prices. We propose a model for the valuation of...