Cloud data store and service，AWS station in EU.
Simulation of energy storage devices on-site through digital twins
BPNN algorithms for energy storage situational awareness
Virtual reality for fire emergency management
1.
“Moenergy”app can sue augmented reality to help customers quickly locate and operate and manage risk of energy storage systems remotely online。
2.
Based on machine learning and artificial intelligence, all data of the battery energy storage system will be modeled and analyzed to strengthen the system's prognostic analysis and early warning capability to assess system risks in all aspects。
3.
The digital twin Saas platform, using virtual reality technology, takes traditional two-dimensional data and displays it in a real three-dimensional device. And the business training assessment process based on 3D scenes, so that technology can empower training and improve management and maintenance capabilities。
4.
We have achieved 98% accuracy for PV inverters and plan to achieve over 90% safety prediction accuracy in deep learning for energy storage systems, with a prediction time of more than 24 hours and statistical equipment full life cycle operation status.
5.
The "Moenergy" system is interfaced with public service departments, electricity, development and reform, energy and fire, and the 3D data interacts with each other in time to increase the monitoring dimension.
6.
“Moenergy” analyze users' real time data on the cloud, combine with intelligent management and services, and provide underlying data reference for virtual power plants。
Smart ESS Provider
