Dataset_ElectricalDevices: The Electrical Devices dataset.
In lweicdsor/OSTSC: Over Sampling for Time Series Classification
Description
Usage
Format
Details
Value
References
Description
This dataset is taken from research Powering the Nation.
Usage
1
Format
A dataset with 5527 observations of sequence length 96, with a single sequence per row.
The y data is labeled as 5,6.
The x data constructs time series sequences (numeric).
Details
Powering the Nation collected behavioural data about how consumers use electricity within the home to help reduce the UK's carbon footprint.
Value
eds: the dataset ElectricalDevices
References
Lines J., Bagnall A., Caiger-Smith P., Anderson S. (2011) Classification of Household Devices by Electricity Usage Profiles.
In: Yin H., Wang W., Rayward-Smith V. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2011. IDEAL 2011.
Lecture Notes in Computer Science, vol 6936. Springer, Berlin, Heidelberg.
lweicdsor/OSTSC documentation built on May 8, 2019, 1:13 p.m.
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Description Usage Format Details Value References
Description
This dataset is taken from research Powering the Nation.
Usage
1 |
Format
A dataset with 5527 observations of sequence length 96, with a single sequence per row.
The y data is labeled as 5,6.
The x data constructs time series sequences (numeric).
Details
Powering the Nation collected behavioural data about how consumers use electricity within the home to help reduce the UK's carbon footprint.
Value
eds: the dataset ElectricalDevices
References
Lines J., Bagnall A., Caiger-Smith P., Anderson S. (2011) Classification of Household Devices by Electricity Usage Profiles. In: Yin H., Wang W., Rayward-Smith V. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2011. IDEAL 2011. Lecture Notes in Computer Science, vol 6936. Springer, Berlin, Heidelberg.
R Package Documentation
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