Smart Meter

Smart meters, devices measuring household energy consumption, are revolutionizing energy management and grid optimization. Current research focuses on leveraging smart meter data for tasks like load disaggregation (identifying individual appliance usage), anomaly detection (pinpointing unusual energy patterns), and load forecasting (predicting future energy demand), often employing deep learning models such as transformers, recurrent neural networks, and autoencoders, along with federated learning techniques to address privacy concerns. These advancements are crucial for improving grid stability, enabling efficient demand-side management, and facilitating the transition to renewable energy sources while safeguarding user privacy.