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

25

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

Users By Organization Type
Type Users
Unidentified 18 (72%)
Educational - University 7 (28%)
Users by Country of Residence
Country Users
us UNITED STATES 5 (71.43%)
bd BANGLADESH 1 (14.29%)
in INDIA 1 (14.29%)

Simulation Runs

78

5 13 19 21 28 34 35 35 38 38 39 39 41 41 41 41 43 51 53 60 63 65 70 72 74 74 74 74 74 76 76 76 76 76 78 78
Overview
Average Total
Wall Clock Time 5.71 hours 10.7 days
CPU time 15.19 seconds 11.39 minutes
Interaction Time 22.79 minutes 17.09 hours