wtpcc 0.1.0

A lightweight function for normal behavior modeling for wind turbine SCADA data.

Wind-Turbine-SCADA-Data-Power-Curve-Cleaning (wtpcc)

wtpcc is a lightweight Python package for power-curve-based cleaning of wind turbine SCADA data.

The package filters SCADA observations by comparing measured power values against an interpolated reference power curve. In addition to point-wise filtering, it supports simple window-based removal of neighboring samples around out-of-band observations. It also provides file-based batch processing for CSV and Parquet files with optional parallel execution.

Features

• power-curve-based filtering for SCADA data
• linear interpolation of a reference power curve via numpy.interp
• configurable power margin around the reference power curve
• minimum wind-speed threshold
• window-based filtering using convolution.
• batch processing of CSV and Parquet files
• optional parallel processing with automatic job estimation based on available RAM

Installation

pip install wtpcc

From Source

pip install .
or
pdm install
or 
pip install -e .