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

10

1 2 4 5 7 9 9 9 10 10

Users By Organization Type
Type Users
Unidentified 7 (70%)
Educational - University 3 (30%)
Users by Country of Residence
Country Users
us UNITED STATES 3 (100%)

Simulation Runs

38

5 13 19 21 28 34 35 35 38 38
Overview
Average Total
Wall Clock Time 31.21 minutes 13.53 hours
CPU time 22.33 seconds 9.67 minutes
Interaction Time 30.7 minutes 13.3 hours