ARTICLE
|
doi:10.20944/preprints201903.0131.v1
Subject:
Engineering,
Energy And Fuel Technology
Keywords:
energy consumption; prediction; machine learning models; deep learning models; 21 artificial intelligence (AI); computational intelligence (CI); forecasting; soft computing (SC)
Online: 11 March 2019 (10:09:33 CET)