Integrates enterprise energy refined management needs, drives enterprise energy development transformation digitally, empowers energy-saving green transformation, and achieves energy structure transformation
1、Data Scattered
Energy consumption data is incomplete, boundary isolation is obvious, information is not transparent or interconnected, and timeliness is poor.
2、Energy Efficiency Confusion
Lack of means for energy conservation and consumption reduction, no targeted scenario-based solutions, unable to effectively identify energy optimization points and rectification points.
3、Tool Deficiency
Lack of suitable energy management tools to help users classify and collect massive energy data, and provide feedback for improvement and optimization suggestions.
4、Prediction Difficulty
Only based on historical energy usage curves, without combining enterprise-specific energy usage models, it is difficult to obtain accurate energy usage predictions.
Dynamically monitor the energy usage of various energy consumption units, drive energy management with data, and achieve refined energy usage.
Build enterprise-specific energy usage models, use big data algorithms for adaptation and optimization, and improve the accuracy of energy usage predictions.
Guide the optimization of energy system operation, fully grasp energy consumption data, and provide objective basis for energy-saving transformation.
Build a digital, transparent, and dynamic energy management system to enhance energy management capabilities.