Achieving carbon peak and carbon neutrality requires industries to enhance energy efficiency and optimize resource utilization. Traditional energy management methods rely on rule-based or static optimization approaches, which struggle to adapt to dynamic production environments and fluctuating energy demands. These limitations lead to inefficient energy use, increased operational costs, and challenges in meeting sustainability goals. This research introduces Deep Learning-based Green Optimization for Enterprise Production (DeepGreen-Opt), a deep learning-driven framework designed to analyze en...
