This paper uses quantile regression to demonstrate how electricity price distributions are
linked to fundamental supply and demand variables. It investigates the California electricity …

This paper provides estimates of quantile regression models of the relationship between
Italian day-ahead electricity prices, the supply of renewables and the inception of a new …

There are several approaches in the literature for the derivation of price forward curves
(PFCs) which distinguish among each other by the procedure employed for the derivation of …

Given the perspective of the Swiss energy policy to support investments in renewable
energy sources, it becomes highly relevant at this point to understand cross-border effects of …

Motivated by the environmental challenges and the increase in energy demand, this review
assesses the suitability of nuclear power production as an alternative option to using fossil …

With the increasing integration of wind and photovoltaic power in the whole European power
system, there is a longing for detecting how to trade energy in the ever-changing intraday …

R code as well as the Santa Cruz IVT and ELI time series data used to estimate the 0.85
quantile IVT thresholds in Section 5 are available in the Supplementary Material. The code …

The Emissions Trading System in the European Union was introduced to achieve the
climate goal of reducing emissions by around 43% between 1990 and 2030. Accordingly …

Previous research shows that renewable energies have a direct negative marginal effect on
electricity prices. Gas plants play an essential role in the electricity generation in several fuel …

We investigate cross-border dynamics between the Spanish and French electricity markets
in the light of EU's market integration. The analysis is highly relevant given the isolation of …