ETT (Electricity Transformer Temperature)

Introduced by Zhou et al. in Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

The Electricity Transformer Temperature (ETT) is a crucial indicator in the electric power long-term deployment. This dataset consists of 2 years data from two separated counties in China. To explore the granularity on the Long sequence time-series forecasting (LSTF) problem, different subsets are created, {ETTh1, ETTh2} for 1-hour-level and ETTm1 for 15-minutes-level. Each data point consists of the target value ”oil temperature” and 6 power load features. The train/val/test is 12/4/4 months.

Source: https://arxiv.org/pdf/2012.07436.pdf

Papers


Paper Code Results Date Stars

Dataset Loaders


Tasks


Similar Datasets


License


  • Unknown

Modalities


Languages