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Ralf Mikut

Adaptively coping with concept drifts in energy time series forecasting using profiles
Evaluating ensemble post-processing for wind power forecasts
pyWATTS: Python Workflow Automation Tool for Time Series
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
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
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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