Electricity Load Forecasting Using the Temporal Fusion Transformer

Konstantin Hopf, University of Bamberg

09.02.2023

12:00 pm - 1:30 pm

LMU Institute of AI in Management via zoom

The energy transition's challenges demand precise load forecasts for distribution grids. This study assesses the Temporal Fusion Transformer (TFT) performance in short-term electricity load forecasting.

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Colloquium • 12.11.2025 • LMU Department of Statistics and via zoom

Causal Inference Based on Machine Learning for Complex Longitudinal Exposures

12.11.25, 4:15-5:45 pm: Iván Diaz and Herb Sussman from the New York University.

Electricity Load Forecasting Using the Temporal Fusion Transformer

Konstantin Hopf, University of Bamberg

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