grade_pv: returns quality information of time series data of PV

In PVplr: Performance Loss Rate Analysis Pipeline

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

PVplr documentation built on Feb. 16, 2023, 9:56 p.m.