ElectricDevices: Electric Devices data set

In moviedo5/fda.tsc: Functional Data Sets for Time Series Classification

Description

These problems were taken from data recorded as part of government sponsored study called Powering the Nation. The intention was to collect behavioural data about how consumers use electricity within the home to help reduce the UK's carbon footprint. The data contains readings from 251 households, sampled in two-minute intervals over a month. Each series is length 720 (24 hours of readings taken every 2 minutes). Classes are ...

Usage

data(ElectricDevices)

Format

The variables are as follows:

• df: data.frame with the following variables:

  • class: Corresponding class level of “ElectricDevices” curves with 7 classes.

  • sample:Factor variable. In TSC database, the first 8926 values (sample=train) are used for training sample and the rest of 7711 (sample=test) for testing.

• x: fdata class object with with n=16637 curves (per row) in 96 discretization points (per column).

Source

https://www.uea.ac.uk/computing/machine-learning/elastic-ensembles and http://timeseriesclassification.com/description.php?Dataset=ElectricDevices

References

Saito, N., Coifman, R. R. (1994). Local feature extraction and its applications using a library of bases (Doctoral dissertation, Yale University). https://www.math.ucdavis.edu/~saito/publications/saito_phd.pdf

moviedo5/fda.tsc documentation built on May 16, 2019, 12:10 a.m.