Business challenge
Energy use can be difficult to interpret when inefficient heating, occupancy changes or weather effects are hidden in time-series data.
Anonymised applied work · Building analytics
Building performance and heating diagnostics
Helping estates and sustainability teams identify abnormal heating behaviour hidden in meter, temperature and occupancy data.
Project story
From unclear workflow to usable decision support.
This anonymised example illustrates the analytical approach, validation process and decision-support outputs while protecting confidential project information.
Why the existing process was difficult
Estates, facilities, energy and sustainability teams reviewing building performance and operational energy behaviour.
Data and constraints
Meter readings, time stamps, temperature context, occupancy proxies, building metadata and operating-period assumptions. Applied analytics pattern. Recommendations depend on data quality, building context and further operational review.
What SSS Techs built
Apply time-series analysis, baseline modelling, temperature context, occupancy proxies and surplus energy indicators.
Validation and quality controls
Check outputs against known operating periods, weather effects, outliers and practical plausibility before making recommendations.
Result or decision enabled
Helps teams identify where operational investigation is justified and which patterns need further validation.
Relevant consulting route
Need a similar analytical workflow for your organisation?
We can help scope the data, validation, modelling and reporting work needed to support the decision.