Historical Load

Historical load analysis focuses on leveraging past energy consumption data to improve forecasting accuracy and enable efficient grid management. Current research emphasizes developing robust forecasting models, particularly for scenarios with limited data, employing techniques like meta-learning, large time-series models (e.g., transformers), and clustering algorithms to enhance performance. These advancements are crucial for optimizing smart grid operations, improving cyber-attack detection, and facilitating the integration of renewable energy sources and electric vehicles. The ultimate goal is to create more reliable and efficient energy systems.