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Found 6 papers, 3 papers with code
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy
As both forecasting and optimization are difficult problems in their own right, relatively few research has been done in this area.
FRANS: Automatic Feature Extraction for Time Series Forecasting
Traditionally, features used in TSF are handcrafted, which requires domain knowledge and significant data-engineering work.
A Look at the Evaluation Setup of the M5 Forecasting Competition
Scale normalization of the M5 error measure results in less stability than other scale-free errors.
Monash Time Series Forecasting Archive
Many businesses and industries nowadays rely on large quantities of time series data making time series forecasting an important research area.
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting
Many businesses and industries require accurate forecasts for weekly time series nowadays.
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
In particular, global linear models can provide competitive accuracy with two orders of magnitude fewer parameters than local methods.
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