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Veit Hagenmeyer

Adaptively coping with concept drifts in energy time series forecasting using profiles
Analytical uncertainty propagation and storage usage in a high RES Turkish transmission grid scenario
Evaluating ensemble post-processing for wind power forecasts
pyWATTS: Python Workflow Automation Tool for Time Series
Evaluating Ensemble Post-Processing for Wind Power Forecasts
Forecasting energy time series with profile neural networks
Coping with Concept Drifts in Load Forecasting using Machine Learning
Potential of Ensemble Copula Coupling for Wind Power Forecasting
A method for sizing centralised energy storage systems using standard patterns
Industrial demand-side flexibility: A benchmark data set
Auction design to use flexibility potentials in the energy - Intensive industry
Assessment of unsupervised standard pattern recognition methods for industrial energy time series
Demand response clustering — automatically finding optimal cluster hyper-parameter values
How much demand side flexibility do we need? Analyzing where to exploit flexibility in industrial processes
SCiBER: A new public data set of municipal building consumption
Concept and benchmark results for Big Data energy forecasting based on Apache Spark
Mining Flexibility Patterns in Energy Time Series from Industrial Processes

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