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

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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