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

Name: 8 years of hourly heat and electricity demand for a residential building
Creator: Saman Taher
License: https://creativecommons.org/licenses/by/4.0/

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 - 22:19
DOI:: 10.21227/dfvb-re49
Data Format:: *.csv

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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.

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

Darsh Khetan Wed, 07/14/2021 - 03:22 Permalink

Hi, No problem you can use it.

Saman Taher Wed, 07/14/2021 - 03:30 Permalink

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?

Pruthiraj Swain Wed, 07/14/2021 - 19:07 Permalink

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)

Saman Taher Wed, 07/21/2021 - 13:37 Permalink

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.

Mikael Ginst Tue, 05/03/2022 - 16:48 Permalink

Accessing the data for a load forecasting project.

Dimitrios Kont… Thu, 12/01/2022 - 11:00 Permalink

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 hooman1379hasannejad@gmail.com

Hooman Hasannejad Fri, 06/09/2023 - 09:19 Permalink

Hi, Could you please give information, on the topics below? 1. from how many homes comes the given demand for electricity and heat? 2. in what approximate location are the homes in question? 3. what type of houses were they? (Mostly single-family homes, or maybe apartment blocks/hotels) Greetings

Mateusz Strzemieczny Sun, 08/06/2023 - 11:14 Permalink

Hi,

I want to use this data for my research related to probabilistic load forecasting. Can you please let me know the exact or approximate location (Latitude and Longitude) of the residential building from where you got the electric and heating load data?

Thank you very much

SYED MAHBOOB U… Fri, 05/24/2024 - 20:45 Permalink

Hi
I have a few questions about this dataset:
1.What is the location of this residential building?
2.What kind of building is it?
3.May I use this data set for a thesis project?
Thank you

Nafeesa Ashik Mon, 02/24/2025 - 12:24 Permalink

Hello,

I have a few questions about the data that has been received.

1) What type of building was it?

2) What type of electrical elements were in the house? and how many?

Damien Perraud Mon, 03/03/2025 - 08:50 Permalink