plr_cleaning {PVplr}

Basic Data Cleaning

Description

Removes entries with irradiance and power readings outside cutoffs, fixes timestamps to your specified format, and converts columns to numeric when appropriate - see plr_convert_columns. Also, adds columns for days/weeks/years of operation that are used by other functions.

Usage

plr_cleaning(
  df,
  var_list,
  irrad_thresh = 100,
  low_power_thresh = 0.05,
  high_power_cutoff = NA,
  tmst_format = "%Y-%m-%d %H:%M:%S"
)

Arguments

df

A dataframe containing pv data.

var_list

A list of the dataframe's standard variable names, obtained from the output of plr_variable_check.

irrad_thresh

The lowest meaningful irradiance value. Values below are filtered.

low_power_thresh

The lowest meaningful power output. Values below are filtered.

high_power_cutoff

The highest meaningful power output. Values above are filtered.

tmst_format

The desired timestamp format.

Value

Returns dataframe with rows filtered out based on passed cleaning parameters

Examples

var_list <- plr_build_var_list(time_var = "timestamp",
                               power_var = "power",
                               irrad_var = "g_poa",
                               temp_var = "mod_temp",
                               wind_var = NA)
                               
test_dfc <- plr_cleaning(test_df, var_list, irrad_thresh = 100,
                         low_power_thresh = 0.01, high_power_cutoff = NA)