9 datasets found

The dataset used in the paper is the Appliances Energy dataset, which contains data on the energy usage of appliances in a low-energy building.

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 contains energy consumption and greenhouse gas emissions data for 187 quadcopter flights.

The dataset used in this work describes hourly electricity demand of individual households situated in Amsterdam, the Netherlands.

Information about energy relevant at home activities taken from the Harmonized European Time Use Survey.

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.