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

Simulation Users

12

1 2 4 5 7 9 9 9 10 10 11 11 12

Users By Organization Type
Type Users
Unidentified 9 (75%)
Educational - University 3 (25%)
Users by Country of Residence
Country Users
us UNITED STATES 3 (100%)

Simulation Runs

41

5 13 19 21 28 34 35 35 38 38 39 39 41
Overview
Average Total
Wall Clock Time 30.18 minutes 13.58 hours
CPU time 21.58 seconds 9.71 minutes
Interaction Time 29.67 minutes 13.35 hours