Amid the dual challenges of surging global computing power demand and carbon neutrality goals, the data center industry is undergoing a profound transformation in energy management models.
Drawing on years of R&D accumulation and innovative capabilities, Narada Power has recently developed the Smart Cloud Platform for Data Centers. As an AI‑enabled intelligent hub, it reshapes the backup power management paradigm for data centers, helping users achieve safe operation, efficient O&M, and refined management.
Reconstructing the Backup Power Safety Management Paradigm
Narada’s Smart Cloud Platform for data centers has established a three-dimensional protection system covering "cell - module - system". Equipped with an AI inspection engine, the platform collects key parameters such as cell voltage, temperature and internal resistance in real time based on big data fusion analysis and multi-physics coupling models. It analyzes massive data to detect risks and issue early warnings 24 hours in advance.
Through the AI O&M hub, the platform can accurately estimate SOC/SOH. Relying on active equalization technology, it ensures battery consistency and solves capacity loss issues. The multi-dimensional fault diagnosis algorithm of the platform can cut off the fault circuit in milliseconds under abnormal working conditions such as micro short circuit and overcurrent, ensuring "zero spread" of single-point failures.
Reshaping the Technical Foundation of Intelligent Backup Power
Narada’s Smart Cloud Platform for data centers combines modular design with distributed service architecture, successfully building a technical framework with high cohesion and low coupling for business units, and ultimately realizing the full sharing and utilization of data resources, functional modules and intelligent models.

Collaborated by AI algorithms and multi-channel power architecture, the platform supports remote power on/off of load branches. Users can control any circuit branch in milliseconds through the cloud platform, realizing flexible scheduling of equipment clusters and zero standby power consumption.
To meet business continuity requirements, the platform tracks energy consumption data of a single cabinet or even a single device in real time, generates multi-dimensional energy efficiency analysis reports, and automatically identifies core loads. Through differentiated backup power strategies, it dynamically allocates multi-channel backup power sources, ensuring that the backup power duration of key businesses increases by more than 200%, while compressing backup power resources of non-critical loads by 50%, significantly optimizing costs.
In addition, the platform integrates real-time data of electricity price curves, load demands and energy storage status to dynamically optimize power consumption strategies. It takes the initiative to store energy and charge during low electricity price periods, realizing the goal of "saving more during off-peak hours and maintaining uninterrupted power during peak hours" through intelligent regulation, transforming data centers from "large power consumers" into "intelligent energy efficiency benchmarks".