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home [2014/08/13 05:40]
ecai
home [2014/09/03 00:46] (current)
dianam
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   - predictive matching of hydrokinetic power generation and time-varying demand in complex river networks with geospatial and temporal dependencies;​ and    - predictive matching of hydrokinetic power generation and time-varying demand in complex river networks with geospatial and temporal dependencies;​ and 
   - climate-aware planning for distributed hydrokinetic power generation resources and avoiding catastrophic events.  ​   - climate-aware planning for distributed hydrokinetic power generation resources and avoiding catastrophic events.  ​
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 +This research is supported by NSF CyberSEES program through grants [[http://​nsf.gov/​awardsearch/​showAward?​AWD_ID=1331804|1331804]],​ [[http://​nsf.gov/​awardsearch/​showAward?​AWD_ID=1331761|1331761]],​ [[http://​nsf.gov/​awardsearch/​showAward?​AWD_ID=1331610|133160]],​ and [[http://​nsf.gov/​awardsearch/​showAward?​AWD_ID=1331768|1331768]].