Smart data collection is a key to operational excellance
NeuroBotz energy analytics frame work uses Dynamic data aggregation and deep learning techniques to handle multiple meter, sub-meter and machine level data that aggregates and de-aggregates the energy data in real time. The system has the ability to store and retrieve large amount of data with quick response time.
NeuroBotz framework does more than just collect and communicate your energy data, its energy analytics algorithm does parsing and prioritizing detailed energy information that use the data to create a dynamic optimal load curve for control systems.
NeuroBotz metering and reporting electrical data from multiple breaker and machine level will be collected and stored to its cloud-based architecture. The system delivers insight into individual equipment power use, the complete facility, or collective data on multiple facility into single sign on dashboard.