ECAST: A Benchmark Framework for Renewable Energy Forecasting Systems. - Robert Ulbricht; Ulrike Fischer; Lars Kegel; Dirk Habich; Hilko Donker; Wolfgang Lehner (EDBT/ICDT Workshops, 2014)

Template-based Time Series Generation with Loom. - Lars Kegel; Martin Hahmann; Wolfgang Lehner (EDBT/ICDT Workshops, 2016)

Big by blocks: modular analytics. - Martin Hahmann; Claudio Hartmann; Lars Kegel; Dirk Habich; Wolfgang Lehner (it Inf. Technol., 2016)

Feature-driven Time Series Generation. - Lars Kegel; Martin Hahmann; Wolfgang Lehner (Grundlagen von Datenbanken, 2017)

Generating What-If Scenarios for Time Series Data. - Lars Kegel; Martin Hahmann; Wolfgang Lehner (SSDBM, 2017)

Feature-based comparison and generation of time series. - Lars Kegel; Martin Hahmann; Wolfgang Lehner (SSDBM, 2018)

Large-Scale Time Series Analytics - Novel Approaches for Generation and Prediction. - Martin Hahmann; Claudio Hartmann; Lars Kegel; Wolfgang Lehner (Datenbank-Spektrum, 2019)

Feature-aware forecasting of large-scale time series data sets. - Claudio Hartmann; Lars Kegel; Wolfgang Lehner (it Inf. Technol., 2020)

Feature-based Time Series Analytics. - Lars Kegel (2020)

Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation - Extended Version Including Additional Evaluation and Proofs. - Lars Kegel; Claudio Hartmann; Maik Thiele; Wolfgang Lehner (CoRR, 2021)

Season- and Trend-aware Symbolic Approximation for Accurate and Efficient Time Series Matching. - Lars Kegel; Claudio Hartmann; Maik Thiele; Wolfgang Lehner (Datenbank-Spektrum, 2021)