Energy Data

Energy data analysis focuses on understanding and predicting energy consumption patterns across various sectors, from households and buildings to smart grids and renewable energy sources. Current research emphasizes developing advanced forecasting models, such as transformer-based architectures and generative models (including diffusion models and GANs), to improve prediction accuracy and handle complex temporal dependencies in multi-energy systems. This work is crucial for optimizing energy efficiency, enhancing grid management, and facilitating the transition to sustainable energy solutions, particularly given the increasing importance of privacy-preserving techniques like federated learning in handling sensitive energy consumption data.