Using advanced proprietary machine learning algorithms of anomaly detection and energy efficiency scoring and forecasting, the system can identify anomalies and patterns, empowering energy managers’ decision making.

Using a wizard-based interface, rules can be intuitively defined to activate or adjust field devices, settings, sensors, interface with third-party servers, send SMS/email notifications, and much more.

Highly interactive dashboard monitoring screens displaying energy consumption, energy-saving, electrical figures, and site operational parameters – can be viewed by site or as multiple sites.

Dashboard-based analytics, visualizes empowering insights about energy consumption, patterns, and other operational parameters, on the fly or per user request, including sites’ comparison, normalized by square meters, and more.

The system allows for highly flexible settings of alerts on energy and other operational parameters thresholds, fully customized by administrators. Alerts are displayed per site, or grouping of sites, and can be filtered as needed.

The system allows intuitive settings of repetitive tasks and sequences using the scheduler feature, optimizing energy usage and operational excellence for applicable sites.

Leveraging big data and wide applicative knowhow, the system provides unique business intelligence (BI) insights, simplifying queries and data analytics, benchmarking and creating powerful managerial reports.

Advanced IoT platform integrating energy and multiple on-site sensors and actuators to effectively manage and control single to multi-site scale deployments.