ip_num_time

Convert the hour and minute component of each timestamp to a numerical
representation.

The pipeline contained in this package provides tools used in the
Solar Durability and Lifetime Extension Center (SDLE) for the analysis of
Performance Loss Rates (PLR) in real world photovoltaic systems. Functions
included allow for data cleaning, feature correction, power predictive modeling,
PLR determination, and uncertainty bootstrapping through various methods
<doi:10.1109/PVSC40753.2019.8980928>.
The vignette "Pipeline Walkthrough" gives
an explicit run through of typical package usage.
This material is based upon work supported by the U.S Department
of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under
Solar Energy Technologies Office (SETO) Agreement Number DE-EE-0008172.
This work made use of the High Performance Computing Resource in the
Core Facility for Advanced Research Computing at
Case Western Reserve University.

Roger French

PVplr

Performance Loss Rate Analysis Pipeline

Alan Curran

Tyler Burleyson

William Oltjen

Sascha Lindig

David Moser

Solar Durability and Lifetime Extension research center 

ip_num_time function

<dl><dt>data</dt>
<dd>A dataframe with a timestamp column.</dd>
<dt>ts_col</dt>
<dd>The timestamp column name in <code>data</code>. Default value is
'timestamp'.</dd></dl>

Arguments

Author

Numerical time interim predictor. — ip_num_time

<dl>

<dt>data</dt>
<dd>A dataframe with a timestamp column.</dd>


<dt>ts_col</dt>
<dd>The timestamp column name in <code>data</code>. Default value is
'timestamp'.</dd>

</dl>

ip_num_time: Numerical time interim predictor.

Description

Usage

Value

Arguments

Author