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Time Series Forecasting on ercot

0.017MASEChroma
0.012960.040230.06750.09477Oct 7, 2025

Evaluation results

MethodLinks
ChromaModel Size=4m, Frequency Awareness=true, Aggregation Strategy=Best2025.100.017——
ChromaModel Size=4m, Frequency Awareness=true, Aggregation Strategy=Ensemble2025.100.017——
Chronos Large2025.100.017——
Moirai Large2025.100.017——
ChromaModel Size=tiny, Frequency Awareness=true, Aggregation Strategy=Best2025.100.018——
ChromaModel Size=tiny, Frequency Awareness=true, Aggregation Strategy=Ensemble2025.100.018——
Chronos Bolt Base2025.100.021——
TimesFM 2.02025.100.021——
Chronos Bolt Mini2025.100.024——
Seasonal Naive2025.100.037——
Auto ARIMA2025.100.041——
Auto ETS2025.100.118——
ChronosContext length=512, Prediction horizon=962026.04—0.43880.4874
SundialContext length=512, Prediction horizon=962026.04—0.26410.3553
Time-MoEContext length=512, Prediction horizon=962026.04—0.20850.3188
TimerContext length=512, Prediction horizon=962026.04—1.41260.9399
WaveMoEContext length=512, Prediction horizon=962026.04—0.2080.3152