interpolate_missingReadings

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

interpolate_missingReadings function

<dl><dt>timeseries</dt>
<dd>Numeric Vector (<code><a href="/link/vector?package=SmartMeterAnalytics&version=1.1.1" data-mini-rdoc="SmartMeterAnalytics::vector">vector</a></code>) or Time Series (<code><a href="/link/ts?package=SmartMeterAnalytics&version=1.1.1" data-mini-rdoc="SmartMeterAnalytics::ts">ts</a></code>) object in which missing values shall be replaced</dd>
<dt>option</dt>
<dd>Algorithm to be used. Accepts the following input:<ul>
<li>"linear" - for linear interpolation using <a href="/link/approx?package=SmartMeterAnalytics&version=1.1.1" data-mini-rdoc="SmartMeterAnalytics::approx">approx</a></li>
<li>"spline" - for spline interpolation using <a href="/link/spline?package=SmartMeterAnalytics&version=1.1.1" data-mini-rdoc="SmartMeterAnalytics::spline">spline</a></li>
<li>"stine" - for Stineman interpolation using stinterp</li>
</ul></dd>
<dt>...</dt>
<dd>Additional parameters to be passed through to <a href="/link/approx?package=SmartMeterAnalytics&version=1.1.1" data-mini-rdoc="SmartMeterAnalytics::approx">approx</a> or <a href="/link/spline?package=SmartMeterAnalytics&version=1.1.1" data-mini-rdoc="SmartMeterAnalytics::spline">spline</a> interpolation functions</dd></dl>

Arguments

The implementation is adopted from the package imputeTS, function na.interpolate
(https://github.com/SteffenMoritz/imputeTS/blob/master/R/na.interpolation.R)

Author

Interpolate missing readings — interpolate_missingReadings

<dl>

<dt>timeseries</dt>
<dd>Numeric Vector (<code><a href='https://rdrr.io/r/base/vector.html'>vector</a></code>) or Time Series (<code><a href='https://rdrr.io/r/stats/ts.html'>ts</a></code>) object in which missing values shall be replaced</dd>


<dt>option</dt>
<dd>Algorithm to be used. Accepts the following input:<ul>
<li>"linear" - for linear interpolation using <a href='https://rdrr.io/r/stats/approxfun.html'>approx</a></li>
<li>"spline" - for spline interpolation using <a href='https://rdrr.io/r/stats/splinefun.html'>spline</a></li>
<li>"stine" - for Stineman interpolation using stinterp</li>
</ul></dd>


<dt>...</dt>
<dd>Additional parameters to be passed through to <a href='https://rdrr.io/r/stats/approxfun.html'>approx</a> or <a href='https://rdrr.io/r/stats/splinefun.html'>spline</a> interpolation functions</dd>

</dl>

interpolate_missingReadings: Interpolate missing readings

Description

Usage

Value

Arguments

Author

Details