Appliance Detection

Appliance detection, a crucial aspect of smart grid management and energy efficiency, aims to identify individual appliances within a household using aggregated energy consumption data from smart meters. Current research heavily utilizes machine learning, particularly deep learning models like transformers and convolutional neural networks, often incorporating techniques to handle the challenges of low-frequency data and zero-inflated datasets. These advancements improve the accuracy of appliance identification, enabling personalized energy recommendations and contributing to more efficient energy consumption monitoring and management.