Description of Invention
In the IoT and Smart Home age, our study presents a ground-breaking way for identifying anomalies in Smart Home Systems, easing integration by developers. It uses cutting-edge deep learning models, LSTM and DCNN, to find distinctive patterns in time-series data without the requirement for labeled datasets. By guaranteeing precise energy use figures, lowering waste, and respecting everyday routines, this technology benefits the community.