Open AccessUsing Machine Learning and Deep Learning for Load disaggregation and Recognition of Activities in Household
Author(s) -
Theogene Bimenyimana
Publication year - 2020
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.22215/etd/2020-14213
Subject(s) - benchmark (surveying) , computer science , random forest , consumption (sociology) , artificial intelligence , electricity , machine learning , energy (signal processing) , ensemble learning , demand response , energy consumption , term (time) , demand forecasting , electricity demand , power (physics) , operations research , engineering , electricity generation , statistics , geography , social science , physics , mathematics , geodesy , quantum mechanics , sociology , electrical engineering