13 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 REDD dataset is a public dataset for energy disaggregation research.

The dataset used for forecasting the energy consumption in public buildings.

A low-cost home energy management system (HEMS) for monitoring and controlling energy consumption in a Colombian household.

The dataset was used to evaluate the energy consumption and carbon footprint of the proposed state-of-the-art architectures for wireless fingerprinting localization.

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

The dataset used in the paper is a publicly available dataset composed of energy consumption measurements from a poultry feed factory located in Brazil.

Building Data Genome 2.0 (BDG2.0) dataset comprises hourly time-series data from electrical meters, sourced from the BDG2 project, for modeling purposes.

Anomaly detection in smart metering system using BiLSTM autoencoder

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 REDD dataset is a dataset for energy disaggregation. It contains about half month power consumption from real homes in US, for the whole house as well as for each individual...

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.