The spot price of electricity is highly skewed and heavy-tailed, as a result of the interaction of different variables … variables in an electricity market, reducing the limitations that normality and parametric density functions impose. The … likelihood criterion. The study case is the Colombian electricity market, where the SNP distribution outperforms the normal …

Short-term electricity price forecasting has received considerable attention in recent years. Despite this increased … electricity market (SEM). We utilized several forecasting approaches ranging from standard conditional volatility models to … interest, the literature lacks a concrete consensus on the most suitable forecasting approach. This study reports an extensive …

Renewable electricity is the main instrument used for decarbonizing the electricity sector. This paper aims at … effect is positive. Wind electricity offsets more emissions than solar at the margin. Responsiveness differs between … congestion, which are significant. By detailed analysis of electricity exports, international leakage rates and long …

Analyzing the impact of electricity price changes on electricity demand helps in energy supply planning. This study … estimated the electricity demand functions of households and industries, as well as the impact of electricity price hikes on … electricity demand following natural disasters. We found that structural changes occurred in various regions' electricity demand …

combustibles for electricity, reliable methods for modelling electricity consumption can contribute to a more rational employment … Italy, France and Greece on hourly data of aggregate electricity consumption. The empirical results obtained with the PC … a much simpler and attractive alternative to modelling electricity consumption since it is extremely easy to compute, it …