most citedSecure short-term load forecasting for smart grids with transformer-based federated learning

14 citations · 14 across the 2 of their papers we have counts for

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cs.LG2026

Knowledge Distillation for Efficient Transformer-Based Reinforcement Learning in Hardware-Constrained Energy Management Systems

Pascal Henrich, Jonas Sievers, Maximilian Beichter +3

Transformer-based reinforcement learning has emerged as a strong candidate for sequential control in residential energy management. In particular, the Decision Transformer can lear…

cs.LG2023★ 14 cited

Secure short-term load forecasting for smart grids with transformer-based federated learning

Jonas Sievers, Thomas Blank

Electricity load forecasting is an essential task within smart grids to assist demand and supply balance. While advanced deep learning models require large amounts of high-resoluti…