grade_pv {PVplr}

returns quality information of time series data of PV

Description

returns quality information of time series data of PV

Usage

grade_pv(
  df,
  col = "poay",
  id = "pv_id",
  timestamp_col = "tmst",
  timestamp_format = "%Y-%m-%d %H:%M:%S",
  batch_days = 90
)

Arguments

df

the PV time series data. It can be the direct output of read.csv(file_name, stringsAsFactors = F)

col

column of the grading, default 'poay'

id

The name of the pv data

timestamp_col

the character name of the timestamp column

timestamp_format

the POSIXct format of the timestamp if conversion is needed

batch_days

the batch of data that the anomaly detection is applied. Since time series decomposition is used, one seasonality will be applied for whole data which is inefficeint, if NA, will pass whole

Author(s)

Arash Khalilnejad