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Submission

Submission creator avatar Solar Prize
Analysis Artificial Intelligence Automation Cogeneration Community Solar Concentrated Solar Power (CSP) CSP Collectors CSP CPV CPV/T CSP Receivers DIY Solar Module Assembling Finance Forecasting Grid Integration and Modeling Heat Transfer Fluids Manufacturing NREL contributed Other Permitting & Standardization Photovoltaics (PV) Plug and Play Power column Transforming wind power and solar energy into electricity Power Electronics PV Cell PV/DER Integration PV Materials PV Module PV Reliability PV System PV/T Racking Sensing & Communication Smart IoT PV Home Solar Module Assembling Sustainable Manufacturing Thermal Energy Storage Wearable Technology
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  Analysis
introduction
title
Who will go solar next?
short description
Harnessing prediction markets to anticipate solar deployment
Eligibility
Full Description
Develop a method (e.g., prediction markets) to predict future deployment of solar locally and regionally. Gather data on current and past deployments and identify “ripe” areas for potential solar installation at the residential, community and commercial levels.
References
Submissions may include up to 5 links to research literature that provides background and relevant patents. Such links can be to a website article, a Wikipedia page or for National Lab IP, https://www.labpartnering.org/lab-technologies. It is the Prize Administrator’s hope that the quality of literature referenced in the submissions will factor into voting results.
Reference (1)
http://fortune.com/2016/09/14/data-machine-learning-solar/

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