8 years of hourly heat and electricity demand for a residential building

Citation Author(s):
Saman
Taheri
Department of Mechanical and Energy Engineering- Purdue University Indianapolis, IN 46202
Mohammad
Jooshaki
Department of Electrical and Computer Engineering, Sharif University of Technology, Iran
Moein
Moeini-Aghtaie
Department of Energy Engineering Sharif University of Technology, Iran
Submitted by:
Saman Taher
Last updated:
Fri, 08/06/2021 - 18:19
DOI:
10.21227/dfvb-re49
Data Format:
License:
0
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Abstract 

The heating and electricity consumption data are the results of an energy audit program aggregated for multiple load profiles of a residential customer. These profiles include HVAC systems loads, convenience power, elevator, etc. The datasets are gathered between December 2010 and November 2018 with a one-hour timestep resolution, thereby containing 140,160 measurements, half of which is for heat or electricity. In addition to the historical energy consumption values, a concatenation of weather variables is also available. The weather variables are air pressure, temperature, and humidity plus wind speed, cloudiness percentage, and solar irradiation at the predetermined location. 

 

For further characteristics, interested readers are invited to see the reference [1].

[1]   Taheri S, Jooshaki M, Moeini-Aghtaie M. Long-term planning of integrated local energy systems using deep learning algorithms. International Journal of Electrical Power & Energy Systems. 2021 Jul 1;129:106855. DOI: https://doi.org/10.1016/j.ijepes.2021.106855

Instructions: 

This is a publicly available dataset of heating and electricity consumption profiles, aggregated from multiple load profiles of a residential customer. The dataset is gathered between December 2010 and November 2018 with a one-hour time step resolution, thereby containing 70,080 measurements. In addition to the historical energy consumption values, a concatenation of meteorological variables is also included. The weather variables are air pressure, temperature, and humidity plus wind speed and solar irradiation at the predetermined location. 

Comments

Accessing the database for a minor data analytics project at the college.

Submitted by Darsh Khetan on Tue, 07/13/2021 - 23:22

Hi, No problem you can use it.

Submitted by Saman Taher on Tue, 07/13/2021 - 23:30

Hi, Thanks for sharing. The data Characterisation zip is not ahoe=wing any attachment , it is showing XML file upon downloading. Could you please check and confirm?

Submitted by Pruthiraj Swain on Wed, 07/14/2021 - 15:07

Hi, The file you mentioned works well for me,
In case you would not access it, please email me and I will send the file directly (staheri@iu.edu)

Submitted by Saman Taher on Wed, 07/21/2021 - 09:37

Hello, is it okay to use this for my master thesis? I need hourly loads for electricity and heating as this dataset have, in order to try different algorithms in order to optimize a battery storage system.

Submitted by Mikael Ginst on Tue, 05/03/2022 - 12:48

Accessing the data for a load forecasting project.

Submitted by Dimitrios Konto... on Thu, 12/01/2022 - 06:00

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