For energy managers overseeing large estates—whether in retail, hospitality, manufacturing, or public sector buildings—understanding energy consumption at a granular level is essential. That’s where submetering comes in.

Submetering is the process of installing additional meters beyond the main utility meter to track energy consumption by specific areas, departments, or individual pieces of equipment. Instead of seeing just an overall energy bill, submetering provides detailed visibility into where and how energy is being used.

For businesses operating across multiple locations, submetering can identify inefficiencies at a site level, allowing for targeted cost reductions and sustainability improvements.

Submetering takes energy monitoring beyond the basics, providing:

✔ Granular Energy Data – Track energy usage down to individual equipment like HVAC, refrigeration, or lighting systems.

✔ Cost Allocation & Accountability – Allocate energy costs to specific departments, teams, or tenants to drive more responsible energy use.

✔ Early Problem Detection – Spot inefficiencies and maintenance issues so that they can be actioned and resolved quickly.

✔ Optimisation & Benchmarking – Compare performance across multiple sites and identify best practices to roll out across the organisation.

While submetering delivers valuable data, raw numbers alone don’t provide solutions. Managing vast amounts of complex data across multiple sites can be overwhelming. That’s where EMMA AI makes all the difference.

EMMA AI integrates submetering data into one intelligent platform, meaning energy managers no longer need to sift through spreadsheets or multiple dashboards. The AI-driven system turns raw energy readings into clear, actionable insights—helping teams make decisions faster – leading to immediate savings.

With submetering, each location can have unique energy patterns and challenges. EMMA AI consolidates these data points into a single view, making it easy to compare performance, identify anomalies, and implement changes across multiple sites at scale.

Manual energy tracking often means inefficiencies go unnoticed for weeks or months. EMMA AI continuously monitors submetering data, detecting unusual spikes or patterns in real time. This allows energy managers to take immediate action and avoid unnecessary costs.

Instead of waiting for an energy bill to highlight issues, EMMA AI’s insights allow teams to implement proactive measures, adjusting energy consumption based on real-time data.

Submetering is a powerful tool, but true energy optimisation goes even further. The next step is integrating Building Management Systems (BMS), pulling in data from HVAC, lighting, air conditioning, and even employee EV charging stations. By combining submetering with BMS insights, businesses can gain a complete view of their energy usage and drive even greater efficiencies.