pw.freq: Long-Term Frequency of Power Output

In gainML: Machine Learning-Based Analysis of Potential Power Gain from Passive Device Installation on Wind Turbine Generators

Description

A dataset containing power bins, the proportion of observing each power bin, and the accumulated hours of observing each power bin.

Usage

pw.freq

Format

A data frame with 10 rows and 3 columns:

PW_bin

the right end point of the intervals defining power bins

freq

the proportion of observing each power bin from historical data

freq_h

the accumulated hours of observing each power bin from historical data

Note

• This dataset is provided to show how a user is expected to structure the long-term frequency data, which will be used in analyze.gain or in quantify.gain.

• In the gain analysis performed by analyze.gain, power bins will be defined with 100kW increments. To be consistent, PW_bin must be defined with 100kW increments. For example, if rated power is 1,000kW (1MW), power bins shalle be generated by using the intervals of [0kW, 100kW], [100kW, 200kW], …, [900kW, 1000kW].

• The gain analysis will only need the information specified in freq_h, so as long as the elements in this column correponds to each power bin (with 100kW increments) and the number of elements matches the number of power bins, there should not be any problem.

gainML documentation built on June 28, 2019, 5:05 p.m.