Transformer Training Strategies for Forecasting Multiple Load Time Series

1 code implementation • 19 Jun 2023 • Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

We evaluate whether a Transformer load forecasting model benefits from a transfer learning strategy, where a global univariate model is trained on the load time series from multiple clients.

Load Forecasting Time Series +1

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data

no code implementations • 29 Apr 2022 • Lukas Scholch, Jonas Steinhauser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knäble, Thorsten Schwarz, Alexander Mädche, Rainer Stiefelhagen

In this work, we propose a synthetic dataset, containing SVCs in the form of images as well as ground truths.