Water flow forecasting in a hydroelectric power plant using PyTorch
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Aug 1, 2023 - Jupyter Notebook
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dlinear
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Multivariate natural gas forecasting in PyTorch: MTS-Mixers versus DLinear and RevIN, with cross-market feature ablations on Dukascopy hourly data.
python deep-learning pytorch forecasting dukascopy commodities natural-gas correlation-analysis time-series-forecasting quantitative-research ablation-study multivariate-time-series mlp-mixer revin dlinear cross-asset-analysis mts-mixers
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Sep 14, 2026 - Python
Natural gas time-series forecasting research in PyTorch: Frequency Adaptive Normalization (FAN), RevIN, and DLinear benchmarks on Dukascopy hourly data.
python deep-learning time-series signal-processing pytorch forecasting fft dukascopy normalization commodities natural-gas time-series-forecasting neurips quantitative-research revin dlinear non-stationary-time-series frequency-adaptive-normalization
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Sep 14, 2026 - Python
Do you need a transformer to forecast? Five tiny models (none over 80k params) vs published transformer results on the ETTh1 long-horizon benchmark — with an in-browser demo.
benchmark deep-learning pytorch lstm tcn time-series-forecasting fastapi dlinear in-browser-ml etth1
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Aug 5, 2026 - Python
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