SmallKitchenAppliances: Small Kitchen Appliances

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

Description

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 areKettle, Microwave and Toaster

Usage

data(SmallKitchenAppliances)

Format

The variables are as follows:

• df: data.frame with the following variables:

  • class: Corresponding class level of “SmallKitchenAppliances” curves with 3 classes (250 observations per class).

  • sample:Factor variable. In TSC database, the first 375 values (sample=train) are used for training sample and the rest of 375 (sample=test) for testing.

• x: fdata class object with with n=750 curves (per row) in 720 discretization points (per column).

Details

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.

Source

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

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