AI combines AM/FM/GIS with real time AMI data to build LV grid topology on an object-oriented map. This allows drill down to the meter level to display layout and enables seamless analysis of abnormalities, faults and more
AI monitors the load & voltage on three phase feeders of a secondary transformer. It then confirms the particular phase(s) the customer is connected to. From there, algorithms provide data driven recommendations on optimal phase load balancing.
Provides alerts on faults and their magnitude, Analyzes source of fault and outputs AI assisted short to medium term fault prediction
Forecast individual and aggregated customer demand, Forecast solar irradiance and PV panel active power generation, and Extract and visualize key insight (yearly, monthly, weekly and daily trend/seasonality).
Peak Load Shaving
& Voltage tuning
Minimize system peak loads by activating/controlling customer DERS (AC/Electric Water Heater/Electric Vehicle Charger), and Control and monitor optimal voltage level to assure better performance and higher billing.