At Greenlink, we prioritize transparency, trust, and communication. This statement explains how we use and protect data while employing machine learning, a form of artificial intelligence, for the betterment of society. 

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Data collection and usage:
 

• We do not buy or sell personal data.

• We use publicly sourced and openly accessible data for analyzing the economic, social, and environmental impacts of energy use.

• The data Greenlink uses is gathered from respected sources, cleaned for consistency and accuracy, and analyzed to provide group-level insights rather than individual predictions.  

• Machine learning helps us identify patterns and perform tasks that would otherwise require unmanageable calculations and time.

 
Data Analysis AI Tools:

 

• Athenia model:

  • Athenia is Greenlink’s proprietary forecasting tool that analyzes utility filings, regulatory approvals, and planned retirements of energy sources to predict trends on an hourly basis out to 2050.

  • Athenia uses neural networks to process data in a layered structure that’s similar to the human brain.
     

• Greenlink Equity Map (GEM):

  • GEM is an interactive tool displaying the intersections of health, housing, and environmental inequities across the country, down to individual neighborhoods.

  • GEM uses random forest algorithms for land use and land cover classification.

 
Limitations of Technology:

 

Machine learning is a powerful tool. We rely heavily on our own expertise to interpret its outputs and address its limitations.