Energy Consumption Model

Energy consumption modeling aims to accurately predict energy use in various systems, from individual vehicles and appliances to large-scale networks like power grids and transportation systems. Current research focuses on developing sophisticated models using diverse techniques, including agent-based modeling, transformer networks with Gaussian Mixture Models, and deep learning architectures like LSTMs, tailored to specific applications and data limitations (e.g., few-shot learning for scarce data). These advancements are crucial for optimizing energy efficiency in diverse sectors, improving resource management, and enabling more sustainable practices, particularly in transportation and renewable energy integration.