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WiWi
Anschrift
Universitätsstr 2
45117 Essen
45117 Essen
Raum
R11 T07 C15
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Funktionen
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Gruppe der Hochschullehrerinnen und Hochschullehrer, Fakultätsrat
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Universitätsprofessor/in, Data Science in Energy and Environment
Aktuelle Veranstaltungen
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SoSe 2025
Vergangene Veranstaltungen (max. 10)
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WiSe 2024
- Energy Forecasting Competition
- Advanced Forecasting in Energy Markets
- Econometrics of Electricity Markets
- Umweltökonomik und erneuerbare Energien (Übung)
- Umweltökonomik und erneuerbare Energien
- Umweltökonomik und erneuerbare Energien
- E3 - WiWi - Umweltökonomik und erneuerbare Energien - Cr. 6-6
- Econometrics of Electricity Markets (Übung)
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SoSe 2024
Die folgenden Publikationen sind in der Online-Universitätsbibliographie der Universität Duisburg-Essen verzeichnet. Weitere Informationen finden Sie gegebenenfalls auch auf den persönlichen Webseiten der Person.
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Agent based modeling for intraday electricity marketsIn: Opsearch , Jg. 62 2025, Nr. 1, S. 178 – 197DOI (Open Access)
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Efficient mid-term forecasting of hourly electricity load using generalized additive modelsIn: Applied Energy , Jg. 388 2025, 125444DOI, Online Volltext (Open Access)
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From day-ahead to mid and long-term horizons with econometric electricity price forecasting modelsIn: Renewable and Sustainable Energy Reviews , Jg. 217 2025, 115684DOI (Open Access)
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Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctionsIn: International Journal of Forecasting , Jg. 40 2024, Nr. 2, S. 581 – 596DOI, Online Volltext (Open Access)
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Multivariate probabilistic CRPS learning with an application to day-ahead electricity pricesIn: International Journal of Forecasting , Jg. 40 2024, Nr. 4, S. 1568 – 1586DOI (Open Access)
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Multivariate simulation-based forecasting for intraday power markets : Modeling cross-product price effectsIn: Applied Stochastic Models in Business and Industry , Jg. 40 2024, Nr. 6, Special Issue: Energy Finance and Climate Change, S. 1571 – 1595DOI (Open Access)
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Simulation-based Forecasting for Intraday Power Markets : Modelling Fundamental Drivers for Location, Shape and Scale of the Price DistributionIn: The Energy Journal , Jg. 45 2024, Nr. 3, S. 87 – 124DOI, Online Volltext (Open Access)
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Water Demand Forecasting Based on Online Aggregation for District Meter Areas-Specific Adaption
The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024): 1–4 July 2024; Ferrara, Italy,In: Engineering Proceedings , Jg. 69 2024, Nr. 1, 15DOI (Open Access) -
CRPS learningIn: Journal of Econometrics , Jg. 237 2023, Nr. 2, Part C, 105221DOI, Online Volltext (Open Access)
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Distributional neural networks for electricity price forecastingIn: Energy Economics , Jg. 125 2023, 106843DOI, Online Volltext (Open Access)
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High-resolution peak demand estimation using generalized additive models and deep neural networksIn: Energy and AI , Jg. 13 2023, 100236DOI (Open Access)
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Modeling volatility and dependence of European carbon and energy pricesIn: Finance Research Letters , Jg. 52 2023, 103503DOI, Online Volltext (Open Access)
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Probabilistic Intraday Wastewater Treatment Plant Inflow Forecast Utilizing Rain Forecast Data and Sewer Network Sensor DataIn: Water Resources Research , Jg. 59 2023, Nr. 11, e2022WR033826DOI (Open Access)
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The Role of Weather Predictions in Electricity Price Forecasting Beyond the Day-Ahead HorizonIn: IEEE Transactions on Power Systems (T-PWRS) , Jg. 38 2023, Nr. 3, S. 2500 – 2511DOI, Online Volltext (Open Access)
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Validierte Daten : Essenzieller Baustein im DatenwertschöpfungsprozessIn: GWF: Wasser, Abwasser , Jg. 2023 2023, Nr. 2, S. 69 – 74
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Anticipating special events in emergency department forecastingIn: International Journal of Forecasting , Jg. 38 2022, Nr. 3, S. 1197 – 1213DOI (Open Access)
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Distributional modeling and forecasting of natural gas pricesIn: Journal of Forecasting , Jg. 41 2022, Nr. 6, S. 1065 – 1086DOI, Online Volltext (Open Access)
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Event-Based Evaluation of Electricity Price Ensemble ForecastsIn: Forecasting , Jg. 4 2022, Nr. 1, S. 51 – 71DOI (Open Access)
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Forecasting : Theory and PracticeIn: International Journal of Forecasting , Jg. 38 2022, Nr. 3, S. 705 – 871DOI, Online Volltext (Open Access)
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Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programmingIn: European Journal of Operational Research (EJOR) , Jg. 301 2022, Nr. 2, S. 726 – 746DOI (Open Access)
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M5 competition uncertainty : Overdispersion, distributional forecasting, GAMLSS, and beyondIn: International Journal of Forecasting , Jg. 38 2022, Nr. 4, S. 1546 – 1554DOI, Online Volltext (Open Access)
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Optimal bidding in hourly and quarter-hourly electricity price auctions : Trading large volumes of power with market impact and transaction costsIn: Energy Economics , Jg. 110 2022, 105974DOI, Online Volltext (Open Access)
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Smoothed Bernstein Online Aggregation for Short-Term Load Forecasting in IEEE DataPort Competition on Day-Ahead Electricity Demand Forecasting : Post-COVID ParadigmIn: IEEE Open Access Journal of Power and Energy , Jg. 9 2022, S. 202 – 212DOI, Online Volltext (Open Access)
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A new approach to extended-range multimodel forecasting : Sequential learning algorithmsIn: Quarterly Journal of the Royal Meteorological Society , Jg. 147 2021, Nr. 741, S. 4269 – 4282DOI (Open Access)
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Conformal prediction interval estimation and applications to day-ahead and intraday power marketsIn: International Journal of Forecasting , Jg. 37 2021, Nr. 2, S. 777 – 799DOI, Online Volltext (Open Access)
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The energy distance for ensemble and scenario reductionIn: Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences , Jg. 379 2021, Nr. 2202, S. 20190431DOI, Online Volltext (Open Access)
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The impact of renewable energy forecasts on intraday electricity pricesIn: Economics of Energy & Environmental Policy , Jg. 10 2021, Nr. 1, S. 79 – 104DOI, Online Volltext (Open Access)
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Uncertainties in Energy and Electricity Markets : An IntroductionIn: Economics of Energy & Environmental Policy , Jg. 10 2021, Nr. 1, S. 1 – 3
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tsrobprep : An R package for robust preprocessing of time series dataIn: SoftwareX , Jg. 16 2021, 100809DOI, Online Volltext (Open Access)
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Changes in Electricity Demand Pattern in Europe Due to COVID-19 ShutdownsIn: IAEE Energy Forum (formerly: IAEE Newsletter) , Jg. 29 2020, Nr. Covid-19 Special Issue 2020, S. 44 – 47
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Econometric modelling and forecasting of intraday electricity pricesIn: Journal of Commodity Markets (JCM) , Jg. 19 2020, 100107DOI, Online Volltext (Open Access)
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Ensemble forecasting for intraday electricity prices : Simulating trajectoriesIn: Applied Energy , Jg. 279 2020, S. 115801DOI, Online Volltext (Open Access)
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Load nowcasting : Predicting actuals with limited dataIn: Energies , Jg. 13 2020, Nr. 6, S. 1443DOI (Open Access)
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Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with LassoIn: Journal of Water Resources Planning and Management , Jg. 146 2020, Nr. 10, S. 04020077DOI, Online Volltext (Open Access)
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Probabilistic forecasting in day-ahead electricity markets : Simulating peak and off-peak pricesIn: International Journal of Forecasting , Jg. 36 2020, Nr. 4, S. 1193 – 1210DOI, Online Volltext (Open Access)
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Estimation and Simulation of the Transaction Arrival Process in Intraday Electricity MarketsIn: Energies , Jg. 12 2019, Nr. 23, S. 4518DOI (Open Access)
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Quantile regression for the qualifying match of GEFCom2017 probabilistic load forecastingIn: International Journal of Forecasting , Jg. 35 2019, Nr. 4, S. 1400 – 1408DOI, Online Volltext (Open Access)
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Short term load forecasting and the effect of temperature at the low voltage levelIn: International Journal of Forecasting , Jg. 35 2019, Nr. 4, S. 1469 – 1484DOI, Online Volltext (Open Access)
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Short- to mid-term day-ahead electricity price forecasting using futuresIn: The Energy Journal , Jg. 40 2019, S. 105 – 127DOI, Online Volltext (Open Access)
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Day-ahead electricity price forecasting with high-dimensional structures : univariate vs. multivariate modeling frameworksIn: Energy Economics , Jg. 70 2018, S. 396 – 420DOI, Online Volltext (Open Access)
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Modeling public holidays in load forecasting: a German case studyIn: Journal of Modern Power Systems and Clean Energy (MPCE) , Jg. 6 2018, Nr. 2, S. 191 – 207DOI (Open Access)
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Probabilistic mid- and long-term electricity price forecastingIn: Renewable and Sustainable Energy Reviews , Jg. 94 2018, S. 251 – 266DOI, Online Volltext (Open Access)
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The value of forecasts : Quantifying the economic gains of accurate quarter-hourly electricity price forecastsIn: Energy Economics , Jg. 76 2018, S. 411 – 423DOI, Online Volltext (Open Access)
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Variance Stabilizing Transformations for Electricity Spot Price ForecastingIn: IEEE Transactions on Power Systems (T-PWRS) , Jg. 33 2018, Nr. 2, S. 2219 – 2229DOI (Open Access)
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Evaluating the effectiveness of storage control in reducing peak demand on low-voltage feedersIn: CIRED: Open Access Proceedings Journal , Jg. 2017 2017, Nr. 1, S. 1745 – 1749DOI (Open Access)
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Electricity price forecasting using sale and purchase curves: The X-ModelIn: Energy Economics , Jg. 59 2016, S. 435 – 454DOI, Online Volltext (Open Access)
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Forecasting Electricity Spot Prices Using Lasso: On Capturing the Autoregressive Intraday StructureIn: IEEE Transactions on Power Systems (T-PWRS) , Jg. 31 2016, Nr. 6, S. 4977 – 4987DOI, Online Volltext (Open Access)
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Forecasting wind power – Modeling periodic and non-linear effects under conditional heteroscedasticityIn: Applied Energy , Jg. 177 2016, S. 285 – 297DOI, Online Volltext (Open Access)
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Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR–ARCH type processesIn: Computational Statistics & Data Analysis , Jg. 100 2016, S. 773 – 793DOI, Online Volltext (Open Access)
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Lasso estimation for GEFCom2014 probabilistic electric load forecastingIn: International Journal of Forecasting , Jg. 32 2016, Nr. 3, S. 1029 – 1037DOI, Online Volltext (Open Access)
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Efficient modeling and forecasting of electricity spot pricesIn: Energy Economics , Jg. 47 2015, S. 98 – 111DOI, Online Volltext (Open Access)
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Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity marketsIn: Energy Economics , Jg. 51 2015, S. 430 – 444DOI, Online Volltext (Open Access)
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Optimal Order Execution in Intraday Markets : Minimizing Costs in Trade Trajectories2020Online Volltext, DOI (Open Access)
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Determining Fundamental Supply and Demand Curves in a Wholesale Electricity Market2019Online Volltext (Open Access)
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Multivariate Forecasting Evaluation : On Sensitive and Strictly Proper Scoring Rules2019Online Volltext (Open Access)
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Electricity Price Forecasting with Principal Component-Guided Sparse RegressionIn: 2024 20th International Conference on the European Energy Market (EEM) / International Conference on European Electricity Market, EEM, 10-12 June 2024, Istanbul, Turkiye 2024
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Optimising Water Supply : Application of Probabilistic Deep Neural Networks to Forecast Water Demand in the Short TermIn: AI in Business and Economics / Lausberg, Isabel; Vogelsang, Michael (Hrsg.) 2024, S. 243 – 256DOI (Open Access)
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Modeling the impact of wind and solar power forecasting errors on intraday electricity pricesIn: International Conference on the European Energy Market, EEM / 14th International Conference on the European Energy Market, EEM 2017; Dresden; Germany; 6 June 2017 through 9 June 2017 2017, S. 7981900
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Modelling and forecasting electricity load using lasso methodsIn: Proceedings - International Conference on Modern Electric Power Systems, MEPS 2015 / 5th International Conference MEPS'15 Modern Electric Power Systems; 2015.07.06-09; Wroclaw, Poland 2015
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Quasi-maximum Likelihood Estimation of Periodic Autoregressive, Conditionally Heteroscedastic Time SeriesIn: Stochastic Models, Statistics and Their Applications / 12th Workshop onStochastic Models, Statistics and Their Applications; February 2015; Wrocław, Poland 2015, S. 207 – 214
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Incorporating Weather Forecasts into Short-Term Water Demand Prediction using Probabilistic Deep Learning with Long Short-Term Memory NetworksIn: Abstracts & Presentations :: EGU General Assembly 2023 / EGU General Assembly 2023, Vienna, Austria & Online, 23–28 April 2023 2023, S. EGU23 – 5731
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Probabilistic water demand forecasting focussing on the impact of climate change and the quantification of uncertainties in the short- and mid-term
EGU General Assembly 2022; Vienna, Austria; 23–27 May 2022,Vienna, Austria 2022DOI (Open Access)