The raising importance of renewable energy, especially solar and wind power, led to new impacts on the formation of electricity prices. Hence, this paper introduces an econometric model for the hourly time series of electricity prices of the EEX which incorporates specific features like renewable energy. The model consists of several sophisticated and established approaches and can be regarded as a periodic VAR-TARCH with wind power, solar power and load as influencing time series. It is able to map the distinct and well-known features of electricity prices in Germany. An efficient iteratively reweighted lasso approach is used for estimation. Moreover, it is shown that several existing models are outperformed by using the procedure develope...
Electricity price forecasting has been a booming field over the years, with many methods and techniq...
Factors which effect the differences and similarities between spot prices in the region SE3 (Stockho...
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science a...
This paper develops fundamental quantile regression models for the German electricity market. The ma...
This paper studies the forecasting abilities of a battery of univariate models on hourly electricity...
In European countries, the last decade has been characterized by a deregulation of power production ...
This paper focuses on the day-ahead forecasting performance of some models for hourly electricity sp...
In this work, an electricity price forecasting model is developed. The performance of the proposed a...
A method for spot price forecasting in electricity exchange is presented. In the beginning of the pa...
Electricity price forecasting is an interesting problem for all the agents involved in electricity m...
The trading activity in the German intraday electricity market has increased significantly over the ...
In this work, an electricity price forecasting model is developed. The performance of the proposed a...
2. Modelling electricity spot prices. What does the literature say? 6 2.1. General contributions ...
The main aim of this paper is to develop and calibrate an econometric model for modeling prices of l...
We introduce a four-factor arithmetic model for electricity baseload spot prices in Germany and Aust...
Electricity price forecasting has been a booming field over the years, with many methods and techniq...
Factors which effect the differences and similarities between spot prices in the region SE3 (Stockho...
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science a...
This paper develops fundamental quantile regression models for the German electricity market. The ma...
This paper studies the forecasting abilities of a battery of univariate models on hourly electricity...
In European countries, the last decade has been characterized by a deregulation of power production ...
This paper focuses on the day-ahead forecasting performance of some models for hourly electricity sp...
In this work, an electricity price forecasting model is developed. The performance of the proposed a...
A method for spot price forecasting in electricity exchange is presented. In the beginning of the pa...
Electricity price forecasting is an interesting problem for all the agents involved in electricity m...
The trading activity in the German intraday electricity market has increased significantly over the ...
In this work, an electricity price forecasting model is developed. The performance of the proposed a...
2. Modelling electricity spot prices. What does the literature say? 6 2.1. General contributions ...
The main aim of this paper is to develop and calibrate an econometric model for modeling prices of l...
We introduce a four-factor arithmetic model for electricity baseload spot prices in Germany and Aust...
Electricity price forecasting has been a booming field over the years, with many methods and techniq...
Factors which effect the differences and similarities between spot prices in the region SE3 (Stockho...
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science a...