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We introduce NeuralProphet, a successor to Facebook Prophet, which set an industry standard for explainable, scalable, and user-friendly forecasting frameworks.
Ar-net: A simple auto-regressive neural network for time-series
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The m3-competition: results, conclusions and implications
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Numerical optimization
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Nn5 competition
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Forecasting: principles and practice
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DOE, N. (2015) · 2015
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Pytorch: An imperative style, high-performance deep learning library
Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Kopf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J., & Chintala, S. (2019) · 2019
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Building a backtesting service to measure model performance at uber-scale
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Ercot control area hourly load from january 2004 to september 2021, hourly load data archives
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Statistical and machine learning forecasting methods: Concerns and ways forward
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Record of hourly power consumption from french utility rte from january 2017 to december 2018
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Out-of-sample tests of forecasting accuracy: an analysis and review
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