Comparing four machine learning algorithms for household non-intrusive load monitoring

This publication has 28 references indexed in Scilit:

• A review of distribution network applications based on smart meter data analytics
  Renewable and Sustainable Energy Reviews, 2023
• Data augmentation: A comprehensive survey of modern approaches
  Array, 2022
• An efficient hybrid model for appliances classification based on time series features
  Energy and Buildings, 2022
• Impact of quality, type and volume of data used by deep learning models in the analysis of medical images
  Informatics in Medicine Unlocked, 2022
• NILM applications: Literature review of learning approaches, recent developments and challenges
  Energy and Buildings, 2022
• Investigating the impact of data normalization on classification performance
  Applied Soft Computing, 2020
• A hybrid model for appliance classification based on time series features
  Energy and Buildings, 2019
• XG-SF: An XGBoost Classifier Based on Shapelet Features for Time Series Classification
  Procedia Computer Science, 2019
• Comprehensive feature selection for appliance classification in NILM
  Energy and Buildings, 2017
• The question of energy reduction: The problem(s) with feedback
  Energy Policy, 2015