Sift Tutorial 4: Wind Turbine Performance Analysis – How to work around data quality issues

Identifying Wind Turbine Downtime Part 2 – brought to you by Bitbloom

The Sift platform improves renewable energy generation through rich renewable energy analytics and automation, empowering experts to look closer. In this episode of Sift Tutorials, we show how to work around data quality when identifying wind turbine downtime using control data, a key step on the way to effective wind turbine performance analysis.

Tutorial 4

How to work around data quality issues

This video follows our previous video tutorial 3: identifying downtime using control data.

In this video – part of our series on wind turbine performance analysis using Bitbloom’s Sift platform for renewable energy improvement – we continue to identify downtime. This time, we find that data is missing and explore how to work around this.

Downloads & Free Trials

References

Find the links below using the Penmanshiel wind farm open source data we use for the tutorial series and also a link to downloading our Sift Explore Free trial software

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Renewable Energy Analytics

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