Load Profile

Load profile analysis focuses on understanding and predicting electricity consumption patterns, crucial for optimizing power grid management and demand response programs. Current research emphasizes developing accurate and efficient methods for generating, clustering, and forecasting load profiles using machine learning techniques, including large language models (LLMs), conditional diffusion models, variational autoencoders, and Koopman operator decomposition. These advancements aim to address data scarcity, improve the interpretability of load dynamics, and enable more targeted energy management strategies, ultimately enhancing grid resilience and efficiency.