Wind Turbine Power Prediction

By Elijah Reber1; Guang Lin2; Nickolas D Winovich2

1. Penn State University 2. Purdue University

This tool uses a trained neural network algorithm to predict the energy output and failure of a wind turbine using sensor data

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Version 1.0 - published on 30 Jul 2018

doi:10.4231/D3QJ78131 cite this

This tool is closed source.

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Usage

World usage

Location of all "Wind Turbine Power Prediction" Users Since Its Posting

Cumulative Simulation Users

41

1 2 4 5 7 9 9 9 10 10 11 11 12 12 12 12 13 16 17 18 19 20 21 22 23 23 23 23 23 24 24 24 24 24 25 25 25 26 26 27 27 27 27 28 29 30 30 30 31 32 33 34 34 34 34 34 34 35 36 38 38 39 40 40 41 41 41 41 41 41

Simulation Runs

119

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Overview
Average Total
Wall Clock Time 4.1 hours 11.11 days
CPU time 12.41 seconds 13.44 minutes
Interaction Time 19.04 minutes 20.63 hours