2011, Cross Validation and Data Science

Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption

Mlearning.ai

FEBRUARY 27, 2023

For the purposes of this tutorial, I’ve chosen the London Energy Dataset which contains the energy consumption of 5,567 randomly selected households in the city of London, UK for the time period of November 2011 to February 2014. Grid search utilizes cross validation too, so it is crucial to provide an appropriate splitting mechanism.

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Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption

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