ARTICLE
|
doi:10.20944/preprints202203.0121.v1
Subject:
Engineering,
Energy And Fuel Technology
Keywords:
load profiles; electricity; heat; industry; correlation; machine learning; LSTM; prediction; anomaly detection
Online: 8 March 2022 (09:23:34 CET)