research
∙
07/06/2022
Distributional neural networks for electricity price forecasting
We present a novel approach to probabilistic electricity price forecasti...
share
research
∙
05/23/2022
Probabilistic forecasting of German electricity imbalance prices
The exponential growth of renewable energy capacity has brought much unc...
research
∙
03/07/2022
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks
This paper presents a method for estimating high-resolution electricity ...
research
∙
04/29/2021
Optimal bidding on hourly and quarter-hourly day-ahead electricity price auctions: trading large volumes of power with market impact and transaction costs
Electricity exchanges offer several trading possibilities for market par...
research
∙
04/26/2021
tsrobprep - an R package for robust preprocessing of time series data
Data cleaning is a crucial part of every data analysis exercise. Yet, th...
research
∙
05/04/2020
Ensemble Forecasting for Intraday Electricity Prices: Simulating Trajectories
Recent studies concerning the point electricity price forecasting have s...
research
∙
04/29/2020
Changes in electricity demand pattern in Europe due to COVID-19 shutdowns
The article covers electricity demand shift effects due to COVID-19 shut...
research
∙
01/28/2019
Intensity estimation of transaction arrivals on the intraday electricity market
In the following paper we present a simple intensity estimation method o...
research
∙
12/21/2018