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Title: A Hybrid Dasymetric and Machine Learning Approach to High-Resolution Residential Electricity Consumption Modeling

Document is Abstract
Authors:
 [1]
  1. ORNL
Publication Date:
OSTI Identifier:
1247929
DOE Contract Number:
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: GeoComputation 2015, Dallas, TX, USA, 20150520, 20150523
Research Org:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
ORNL LDRD Director's R&D
Country of Publication:
United States
Language:
English
Subject:
Energy Modeling; Dasymetric Modeling; Machine Learning