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Title: Evaluation of Methods for Comparison of Spatiotemporal and Time Series Datasets

Data used by the National Renewable Energy Laboratory (NREL) in energy analysis are often produced by industry and licensed or purchased for analysis. While this practice provides needed flexibility in selecting data for analysis it presents challenges in understanding the differences among multiple, ostensibly similar, datasets. As options for source data become more varied, it is important to be able to articulate why certain datasets were chosen and to ensure those include the data that best meet the boundaries and/or limitations of a particular analysis. This report represents the first of three phases of research intended to develop methods to quantitatively assess and compare both input datasets and the results of analyses performed at NREL. This capability is critical to identifying tipping points in the costs or benefits of achieving high spatial and temporal resolution of input data.
Authors:
 [1] ;  [1] ;  [1] ;  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
OSTI Identifier:
1215011
Report Number(s):
NREL/TP--6A20-62647
DOE Contract Number:
AC36-08GO28308
Resource Type:
Technical Report
Research Org:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING STATISTICS; SPATIAL; SPATIOTEMPORAL; TIME SERIES; DATA MINING