Mission 2

Unlocking Industrial Flexibility Using
Smart Meter Intelligence

Problem Statement

Develop an AI-powered tool to analyze consumption patterns from existing smart meter data and identify large-scale flexible assets and operational inefficiencies in industrial settings.

Through the VoltBrew Data Highway and AI Execution Pipelines, we are transforming how industries leverage their energy data by:

Solution No. 1

Integrating with AMI/smart meters through secure APIs

Solution No. 2

Enhancing visibility via optional edge hardware

Solution No. 3

Profiling loads and clustering facilities to detect inefficiencies

Solution No. 4

Identifying dispatchable loads, DR potential, and power factor correction opportunities

Solution No. 5

Generating Digital Flexibility Scores for every industrial asset and facility

Solution No. 6

Offering dashboards for cost-benefit analysis and automation planning

Solution No. 7

Simulating DR participation for time-aligned energy strategies

Solution No. 8

Using ML to detect shift-level anomalies, standby losses, and reactive power issues

Solution No. 9

Providing real-time EM&V with adaptive baselining and audit-ready logs

Outcomes Of The Mission

Outcomes Of The Mission

Improved industrial energy efficiency and operational performance

Outcomes Of The Mission

 Real-time AI-powered load intelligence

Outcomes Of The Mission

Identification of inefficiencies and flexible load opportunities

Outcomes Of The Mission

Better planning for grid infrastructure and capacity upgrades

 

Outcomes Of The Mission

Cost-saving strategies through data-driven retrofit decisions

Outcomes Of The Mission

Alignment with DSM, DR, and VPP programs

Outcomes Of The Mission

Contribution to SDG 7 (Clean Energy), SDG 9 (Industry Innovation), and SDG 13 (Climate Action)

Outcomes Of The Mission

Pre-trained AI models for large-scale equipment-level inferences