Field-tested guidance on energy intelligence, codes, ROI, and the technology behind portfolio-scale metering.
103 posts
Industry Solutions
Compressed air costs 8x more than direct electricity. Leaks waste 20–30% of compressor output. Learn how flow metering reveals waste and integrates with
Technology & Innovation
How electromagnetic energy harvesting eliminates batteries from circuit-level monitoring — the physics, accuracy, and 10-year ownership savings.
Technology & Innovation
How K–12 districts and university campuses use circuit-level monitoring to uncover HVAC waste, gymnasium and kitchen overruns, fume hood losses — and tap
Technology & Innovation
AI cannot infer information that was never measured. Why circuit-level resolution — not algorithmic sophistication — determines what machine learning can
Technology & Innovation
How Modbus TCP and BACnet bridge circuit-level energy monitoring into BMS, CMMS, and ERP systems — turning specialized data into routine operational
Sustainability & Compliance
Green Building United's 2026 Sustainability Symposium returns to Temple University on May 15. Here's what energy metering professionals learned from the
Sustainability & Compliance
ASHRAE 90.1, NYC Local Law 97, Philadelphia BEPS, and Maryland Climate Solutions Now Act now require circuit-level energy data — not just utility bills.
Sustainability & Compliance
California's updated LCFS program offers massive credit opportunities for EV charging infrastructure — but only with proper metering. Learn how the new
ROI & Business Case
Many commercial electricity customers are eligible for utility rebates and incentive programs that can cover 50–100% of the cost of energy monitoring
Industry Solutions
Multi-site retail chains and logistics operators are discovering that portfolio-wide energy benchmarking — comparing sites against each other on
Industry Solutions
Healthcare facilities operate 24/7 with complex, mission-critical loads and some of the highest energy intensities of any commercial building type.
Technology & Innovation
Circuit-level energy data is emerging as the most reliable input for AI-driven predictive maintenance. By analyzing current draw patterns, cycling
