datasets.load_victoria_electricity()

Load hourly Victoria (Australia) electricity demand and temperature.

Usage

Source

datasets.load_victoria_electricity()

The series covers the first eight weeks of 2014, sampled hourly, from the Victoria electricity demand dataset used in the TensorFlow Probability structural-time-series case study and in Hyndman and Athanasopoulos’ Forecasting: Principles and Practice. The original half-hourly data is downsampled to hourly by taking every other step. The values are bundled as a small CSV next to this module.

Returns

demand: Float[Array, " time 1"]

Hourly electricity demand (GW) with time at axis -2 and a single observation dimension.

temperature: Float[Array, " time"]

Hourly temperature (degrees Celsius), aligned with demand.