Abstract:

Industrial parks are facing great pressure in energy conservation and emission reduction, making it imperative to integrate digital technologies into energy management. First, this paper analyzes the typical problems with traditional energy management approaches in industrial parks. Then, it proposes an energy management method based on evolutionary deep learning. This method is applied to three key scenarios: energy consumption forecasting, intelligent lighting, and equipment early warning in industrial parks. Finally, it summarizes the safeguard measures for the practical application of evolutionary deep learning, providing a mature approach to expanding the application scenarios of energy management.

Key words: energy management, evolutionary deep learning, energy consumption forecasting, intelligent lighting, equipment early warning