5 datasets found

The dataset used in this paper is a real dataset consisting of a series of household minute-averaged active power consumption (in Kilowatts) from 57600 samples.

The dataset used in this paper is a load injection profile dataset, which is a high-resolution temporally correlated power consumption dataset.

The TUM data set contains 72 real driving excursions in Munich. The variables in the data are recorded once every 0.1 seconds using a 2014 BMW i3 (60 Ah) as the testing vehicle.

The dataset is not explicitly described in the paper, but it is mentioned as a real-world dataset for energy consumption from 02/2011-02/2013.

The dataset contains energy data from the UCI Appliances energy prediction dataset with 28 features and noisy periodicity and correlation.