Smart Grid Analytics
Managing & Analyzing large datasets
Esyasoft’s Intelligent Smart Grid platform successfully addresses both management and analysis of the huge influx of mineable data made available by the utilization of smart meters, providing utilities with critical insights.
Demand Forecasting
Predictive statistical models at the granular level are built to analyze load behaviour. Future load patterns are predicted using historical meter data, weather data and various other parameters which affect demand curves.
Asset Monitoring
Preventive statistical models triggering scheduled alerts for maintenance assist in asset functionality. Risk assessment will help operations teams to perform continuous monitoring of said assets’ condition.
Revenue Protection Algorithms
Statistical models for non-technical loss identification will help utility in decreasing AT&C losses.
Customer Behaviour Insights
Insights into customer consumption pattern and behavioral information to assist the utility with load planning, pricing and enhanced consumer understanding.
Demand Response
Discernment of optimal consumer targeting; tailoring suitable schemes to ensure the program’s success.
Prepaid Metering
MDM can perform transactions associated with prepaid metering. It supports and monitors features such as low balance intimation, recharge information, current balance, etc.
