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Abstract Details
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Activity Number:
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264
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Type:
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Roundtables
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Date/Time:
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Tuesday, August 2, 2011 : 7:00 AM to 8:15 AM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #300785 |
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Title:
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Engaging Stochastic Spatiotemporal Methodologies in Renewable Energy Research
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Author(s):
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Alexander Kolovos*+
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Companies:
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SAS Institute Inc.
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Address:
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100 SAS Campus Dr., S3042, Cary, NC, 27513, USA
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Keywords:
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spatiotemporal ;
stochastic modeling ;
renewable energy ;
energy research ;
solar ;
wind
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Abstract:
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This roundtable builds on a discussion initialized at JSM2010. Last year the panel explored the interest in connecting statistical methodologies with research in the fields of renewable energy and sustainability. In particular, stochastic spatiotemporal analysis can provide a plethora of tools for fundamental aspects in the modeling of attributes related to renewable energy resources such as solar radiation, wind fields, tidal waves. In alignment with this year's JSM all-encompassing theme, the goal now is to take a further step forward and engage energy-related disciplines in the industry and the academia to benefit their research from the availability of advanced methodologies in space-time analysis. Ideally, the session looks into enabling a communication core between statisticians and specialists in renewable energy and sustainability to bring forward the potential and benefits of shared research in these disciplines.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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