A probabilistic merit order for electricity price forecasting
Paul Ghelasi, F. Ziel
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#machine learning
May 2026
Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration
We propose a novel Mixture-of-Experts framework, referred to as Expert Loss Integration MoE (EliMoE), for time series forecasting. EliMoE addresses the optimization problem arising from small gating weights by incorporating expert-specific losses, which provide each expert with a direct learning signal independent of t...
Btissame El Mahtout, F. Ziel
· arXiv.org · 0 citations