Intraday electricity markets play an increasingly important role in bala...
Aggregated curves are common structures in economics and finance, and th...
This paper presents a new method for combining (or aggregating or ensemb...
During the last years, European intraday power markets have gained impor...
We study the prices of European Emission Allowances (EUA), whereby we an...
We present a novel approach to probabilistic electricity price forecasti...
This paper presents a method for estimating high-resolution electricity ...
The M5 competition uncertainty track aims for probabilistic forecasting ...
We present a winning method of the IEEE DataPort Competition on Day-Ahea...
Electricity exchanges offer several trading possibilities for market
par...
Data cleaning is a crucial part of every data analysis exercise. Yet, th...
Combination and aggregation techniques can improve forecast accuracy
sub...
This study evaluates the performance of cointegrated vector autoregressi...
In this paper, we examine the problem of modeling and forecasting Europe...
Scenario reduction techniques are widely applied for solving sophisticat...
Water demand is a highly important variable for operational control and
...
Recent studies concerning the point electricity price forecasting have s...
The article covers electricity demand shift effects due to COVID-19 shut...
In recent years, probabilistic forecasting is an emerging topic, which i...
We discuss a concept denoted as Conformal Prediction (CP) in this paper....
In the following paper we present a simple intensity estimation method o...
In the following paper we analyse the ID_3-Price on German Intraday
Cont...
We propose a multivariate elastic net regression forecast model for Germ...
We present a simple quantile regression-based forecasting method that wa...
We conduct an extensive empirical study on short-term electricity price
...
Short term load forecasts will play a key role in the implementation of ...
In this article we present an approach that enables joint wind speed and...
We present a methodology for probabilistic load forecasting that is base...
Shrinkage algorithms are of great importance in almost every area of
sta...