How AI and IoT are transforming energy management for sustainable cities.
Energy providers faced a critical challenge in 2024: outdated metering systems caused inefficiencies in energy distribution. Legacy meters could not provide real-time data, leading to energy waste, billing inaccuracies, and high operational costs. Municipalities required a modern solution to achieve their sustainability goals.
Cities needed a scalable way to monitor and optimize energy use. With over 400,000 premises in need of retrofitting, manual readings, and inconsistent reporting were leading to $350M in annual losses.
We implemented AI-driven smart meters across 200+ municipalities, enabling real-time monitoring, predictive maintenance, and demand-side response systems to cut energy losses by 80%.
A multi-phase initiative combining cutting-edge measurement technology and AI modeling.
Installed 230,000 connected meters across 17 countries using LoRaWAN connectivity for robust coverage in dense urban areas.
Machine learning models predict consumption patterns, enabling demand-response strategies that cut peak load by 38% in pilot cities.
Interactive dashboards help consumers monitor usage patterns and participate in energy-saving programs.
The system has delivered significant savings and sustainability benefits.
Real-time readings eliminate manual metering errors
Peak load reduction through demand response
Industry-leading 99.9999% availability
Number of households benefiting from this system
Join 40 cities across 6 countries upgrading to AI-powered metering systems. Let's discuss your implementation goals.
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