165 citations
- Stockholm UniversitySE8 papers
- Delft University of TechnologyNL5 papers
- Leibniz University HannoverDE5 papers
- Humboldt-Universität zu BerlinDE3 papers
- Eindhoven University of TechnologyNL2 papers
- GNA UniversityIN2 papers
- University of BolognaIT2 papers
- University of Duisburg-EssenDE2 papers
- Aalto UniversityFI1 paper
- AGH University of KrakowPL1 paper
- Agriculture and FoodAU1 paper
- Atilim UniversityTR1 paper
8 papers · 1 filter
A New High-Dimensional Time Series Approach for Wind Speed, Wind Direction and Air Pressure Forecasting
Daniel Ambach, Wolfgang Schmid
Many wind speed forecasting approaches have been proposed in literature. In this paper a new statistical approach for jointly predicting wind speed, wind direction and air pressure…
Probabilistic Mid- and Long-Term Electricity Price Forecasting
Florian Ziel, Rick Steinert
The liberalization of electricity markets and the development of renewable energy sources has led to new challenges for decision makers. These challenges are accompanied by an incr…
Forecasting wind power - Modeling periodic and non-linear effects under conditional heteroscedasticity
Florian Ziel, Carsten Croonenbroeck, Daniel Ambach
In this article we present an approach that enables joint wind speed and wind power forecasts for a wind park. We combine a multivariate seasonal time varying threshold autoregress…
Lasso estimation for GEFCom2014 probabilistic electric load forecasting
Florian Ziel, Bidong Liu
We present a methodology for probabilistic load forecasting that is based on lasso (least absolute shrinkage and selection operator) estimation. The model considered can be regarde…
Short-Term Wind Speed Forecasting in Germany
Daniel Ambach
The importance of renewable power production is a set goal in terms of the energy turnaround. Developing short-term wind speed forecasting improvements might increase the profitabi…
Using the lasso method for space-time short-term wind speed predictions
Daniel Ambach, Carsten Croonenbroeck
Accurate wind power forecasts depend on reliable wind speed forecasts. Numerical Weather Predictions (NWPs) utilize huge amounts of computing time, but still have rather low spatia…