calc_featuresco_consumption

Calculates consumption features from weekly consumption only

Methods for analysis of energy consumption data (electricity, gas,
water) at different data measurement intervals. The package provides feature extraction
methods and algorithms to prepare data for data mining and machine learning
applications. Deatiled descriptions of the methods and their application can be found
in Hopf (2019, ISBN:978-3-86309-669-4) "Predictive Analytics for Energy Efficiency and
Energy Retailing" <doi:10.20378/irbo-54833> and Hopf et al. (2016) <doi:10.1007/s12525-018-0290-9>
"Enhancing energy efficiency in the residential sector with smart meter data analytics".

Konstantin Hopf

SmartMeterAnalytics

Methods for Smart Meter Data Analysis

Andreas Weigert

Ilya Kozlovskiy

Thorsten Staake

calc_featuresco_consumption function

<dl><dt>B</dt>
<dd>a vector of any length with measurements</dd>
<dt>rowname</dt>
<dd>the row name of the resulting feature vector</dd></dl>

Arguments

Konstantin Hopf <a href="/link/konstantin.hopf%40uni-bamberg.de?package=SmartMeterAnalytics&version=1.1.1" data-mini-rdoc="SmartMeterAnalytics::konstantin.hopf@uni-bamberg.de">konstantin.hopf@uni-bamberg.de</a>

Author

Calculates consumption features from weekly consumption only — calc_featuresco_consumption

<dl>

<dt>B</dt>
<dd>a vector of any length with measurements</dd>


<dt>rowname</dt>
<dd>the row name of the resulting feature vector</dd>

</dl>

Konstantin Hopf <a href='mailto:konstantin.hopf@uni-bamberg.de'>konstantin.hopf@uni-bamberg.de</a>

calc_featuresco_consumption: Calculates consumption features from weekly consumption only

Description

Usage

Value

Arguments

Author

References