|
Activity Number:
|
665
- Spatial Methods for Weather, Climate, and Health
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistics and the Environment
|
|
Abstract #324697
|
|
|
Title:
|
Spatial Time Series Classification with Applications to Wind Energy
|
|
Author(s):
|
Laurie Tupper* and David S Matteson and C. Lindsay Anderson
|
|
Companies:
|
Williams College and Cornell University and Cornell University
|
|
Keywords:
|
time series ;
spatial data ;
spatio-temporal data ;
classification ;
wind energy
|
|
Abstract:
|
Integration of wind energy into the power grid requires the simultaneous analysis of wind speeds varying over time across multiple locations, which may be considered as spatial time series. We propose techniques to describe the joint behavior of these series, some of which exploit the spatially-driven correlation between sites, and we explore classification using a variety of distance metrics.
|
Authors who are presenting talks have a * after their name.
