GreEn-ER - Electricity Consumption Data of a Tertiary Building

Published: 20 September 2020| Version 1 | DOI: 10.17632/h8mmnthn5w.1
Gustavo Martin Nascimento,


This dataset provides electricity consumption data collected from the building management system of GreEn-ER. This building, located in Grenoble, hosts Grenoble-INP Ense³ Engineering School and the G2ELab (Grenoble Electrical Engineering Laboratory). It brings together in one place the teaching and research actors around new energy technologies. The electricity consumption of the building is highly monitored with plus than 300 meters. The data from each meter is available in one csv file, which contains two columns. One contains the Timestamp and the other contains de electricity consumption in kWh. The sampling rate for all data is 10 min. There are data available for 2017 and 2018. The dataset also contains data of the external temperature for 2017 and 2018. The files are structured as follows: - The main folder called "Data" contains 2 sub-folders, each one corresponding to one year (2017 and 2018). - Each sub-folder contains 3 other sub-folders, each one corresponding to a sector of the building. - The main folder "Data" also contains the csv files with the electricity consumption data of the whole building and a file called "Temp.csv" with the temperature data. - The separator used in the csv files is ";". - The sampling rate is 10 min and the unity of the consumption is kWh. It means that each sample corresponds to the energy consumption in these 10 minutes. So if the user wants to retrieve the mean power in this period (that corresponds to each sample), the value must be multiplied by 6. - Four Jupyter Notebook files, a format that allows combining text, graphics and code in python are also available. These files allow exploring all the data within the dataset. - These jupyter notebook files contains all the metadata necessary for understanding the system, like drawings of the system design, of the building etc. - Each file is named by the number of its meter. These numbers can be retrieved in tables and drawings available in the Jupyter Notebooks. - A couple of csv files with the system design are also available. They are called "TGBT1_n.csv", "TGBT2_n.csv" and "PREDIS-MHI_n.csv".



Universite Grenoble Alpes, Laboratoire de Genie Electrique de Grenoble, Universidade Federal de Santa Catarina


Electricity, Energy Efficiency, Energy Consumption