Building Data Science & Energy Forecasting
Your buildings already generate the data. We turn BMS, IoT, sensor and utility data into demand forecasts, predictive maintenance signals and clear, defensible savings.
From raw building data to decisions you can act on
Modern buildings generate more operational data than any team can review manually. We apply data science, statistical forecasting and machine learning to that data — surfacing inefficiencies, predicting future demand, and flagging equipment issues before they become costly failures.
This covers everything from short-term load forecasting for a single site to long-term portfolio forecasting for local authorities and utilities planning infrastructure investment.
- ✓Data-driven decisions — Recommendations grounded in your actual consumption patterns, not generic benchmarks.
- ✓Predictive maintenance — Identify likely equipment failures before they cause downtime or costly emergency repairs.
- ✓Peak demand & procurement — Accurate forecasts support better energy procurement and demand-charge management.
- ✓Renewables integration — Forecasting solar, wind and storage behaviour to plan a smoother transition.
How we deliver this service
Data audit
We review what data is available — meters, BMS, IoT — and what's missing.
Integration
Data is collected, cleaned and centralised into a single analysis-ready dataset.
Modelling
We apply statistical and machine-learning models suited to your forecasting horizon.
Validation
Models are tested against held-out data to confirm real-world accuracy.
Delivery
Findings delivered as a report, dashboard, or ongoing forecasting service.
Sectors we support
Local authorities & utilities
Portfolio-level load forecasting for planning and infrastructure investment.
Commercial real estate
Tenant comfort and cost optimisation across offices and mixed-use assets.
Industrial facilities
Predictive maintenance reducing downtime in plants and warehouses.
Healthcare & education
Reliable, comfort-critical environments needing dependable forecasting.
FAQs
What data do you need to start a forecasting project?
Typically historic utility bills or half-hourly meter data, BMS trend data where available, and basic building metadata. We can also work with limited data and expand as monitoring improves.
Can you forecast demand for a portfolio, not just a single building?
Yes. We build portfolio-level forecasting models for local authorities and multi-site organisations, benchmarking buildings against each other as well as forecasting individual demand.
Do you build dashboards as part of this service?
Yes, where useful. We can deliver findings as a report, a live dashboard, or both.