ElectricityLoadDiagrams20112014
Donated on 3/12/2015
This data set contains electricity consumption of 370 points/clients.
Dataset Characteristics
Time-Series
Subject Area
Computer Science
Associated Tasks
Regression, Clustering
Feature Type
Real
# Instances
370
# Features
140256
Dataset Information
Additional Information
Data set has no missing values. Values are in kW of each 15 min. To convert values in kWh values must be divided by 4. Each column represent one client. Some clients were created after 2011. In these cases consumption were considered zero. All time labels report to Portuguese hour. However all days present 96 measures (24*4). Every year in March time change day (which has only 23 hours) the values between 1:00 am and 2:00 am are zero for all points. Every year in October time change day (which has 25 hours) the values between 1:00 am and 2:00 am aggregate the consumption of two hours.
Has Missing Values?
No
Variable Information
Data set were saved as txt using csv format, using semi colon (;). First column present date and time as a string with the following format 'yyyy-mm-dd hh:mm:ss' Other columns present float values with consumption in kW
Dataset Files
| File | Size |
|---|---|
| LD2011_2014.txt | 678.1 MB |
| __MACOSX/._LD2011_2014.txt | 1.1 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset electricityloaddiagrams20112014 = fetch_ucirepo(id=321) # data (as pandas dataframes) X = electricityloaddiagrams20112014.data.features y = electricityloaddiagrams20112014.data.targets # metadata print(electricityloaddiagrams20112014.metadata) # variable information print(electricityloaddiagrams20112014.variables)
Trindade, A. (2015). ElectricityLoadDiagrams20112014 [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C58C86.
Creators
Artur Trindade
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.