Advanced Metering Infrastructure (AMI) - Danovo Energy Solutions

AMI 2.0: From Smart Metering to Intelligent Utility Operations

Transform AMI data into operational intelligence across electric, water, and gas systems.

AMI is evolving from a metering system into a distributed sensing, communications, and analytics platform at the grid edge. Danovo Energy Solutions helps utilities unlock the full value of AMI through strategy, procurement, implementation, analytics, and digital twin–enabled validation.

digital electric meters measuring power for AMI page.

This is no longer just metering. It’s distribution sensing, communications, automation, and analytics operating as one intelligent ecosystem.

Multi-Utility AMI Analytics & Operational Applications

Electric AMI

Leverage the next generation of electric AMI systems to generate business value by utilizing digital twin modeling, real-time testing and edge computing applications to:

Improve load forecasting and load disaggregation
Correct and maintain topology

Improve grid reliability and resiliency

Water AMI

Transition to smart utility operations leveraging AMI sensory and control capabilities to help you:

Reduce non-revenue water loss
Leverage pressure and temperature data

Monitor water quality & pH analytics

Gas AMI

Utilize new meter capabilities and intelligence to improve operations and safety

Smart remote shut-off
Pressure & temperature analysis

Leak detection and monitoring

Full Lifecycle Support

city landscape at night with network connection showing AMI lifecycle connection

Strategy and Business Case Development

We provide technology readiness and technology evaluation.

Solution Procurement

We develop RFPs, evaluate vendors, and support contracting.

Implementation and Integration

We provide data clean-up / integrity, software integration and testing, deployment readiness, and program management.

Value-add Services

We offer custom analytics and RTDS lab testing.

Digital twin-enabled Analytics Validation

We leverage a distribution grid digital twin and controlled test environments to validate analytics before production deployment, simulate real-world feeder conditions and edge cases, and accelerate use case development. This approach aligns engineering, analytics, and IT teams while reducing operational risk and improving deployment confidence within AMI programs.