Operation prediction and energy saving optimization of refrigeration stations based on big data analysis

Based on the analysis of air conditioning energy consumption of a research base in Shenzhen, develops a suitable energy efficiency management platform by big data prediction analysis method and expert rule base. Proposes an energy saving operation strategy of the refrigeration station in one day, which can meet the terminal demand as well as effectively reduce the power consumption of the system, improve the energy efficiency level of the refrigeration station, and reduce the adverse effects of manual intervention.