anomalies

This function gets the data and finds the anomlies in weekends and
weekdays and gives a dataframe with anomalies and anomaly columns

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 

anomalies function

<dl><dt>df</dt>
<dd>structured dataframe</dd></dl>

Arguments

Author

Fixes the anomlies — anomalies

<dl>

<dt>df</dt>
<dd>structured dataframe</dd>

</dl>

anomalies: Fixes the anomlies

Description

Usage

Value

Arguments

Author