Air Masses and Electricity Demand in New England

Published: 29 May 2025| Version 1 | DOI: 10.17632/5b3wk93bm2.1
Contributors:
Cameron Lee, Erik Smith

Description

These datasets (.mat) and Matlab code (.m) are being made available in tandem with research entitled: Exploring the efficacy of multivariate air masses as a predictor of electricity demand: A case study in New England Cameron C. Lee (Kent State University; ClimRISE Laboratory; cclee@kent.edu) Erik Tyler Smith (EPRI) Email the lead-author (Cameron Lee) with Questions. You will need the following products from Mathworks (along with custom functions included on this page): 'MATLAB' '9.8' 'Mapping Toolbox' '4.10' 'Statistics and Machine Learning Toolbox' '11.7' To use: 1) download all .mat files to a common folder 2) open the GWTC_NE_Energy_ForMendeley.m script in Matlab, adjust any folder names to the common folder from step 1 above 3) run the script

Files

Institutions

  • Kent State University
  • Electric Power Research Institute

Categories

Electricity, Climate Classification, Climate, Energy Demand

Licence