Substantial share of buildings’ energy consumption (40%), rising energy cost, increasing sustainability awareness, CSR strategies, greenhouse gas (GHG) emission limits and regulations force municipalities and corporations to increase buildings’ energy efficiency. Through our AI/ML solutions we help to achieve that and greatly decrease consumption and support in implementing right energy reduction projects:

⁃ Energy benchmarking – our machine learning solutions compares energy efficiency of buildings by using their characteristics, energy profiles, past consumption patterns and weather. In result we are able to indicate inefficient buildings that can be subject to energy reduction projects.
⁃ Asset profiling and anomaly detection – with time series energy data we are able to profile energy consummation of each building and asset in order to identify peaks and automatically detect any anomalies that occur in real time. They can be further used by energy analysts and engineers for investigation and smoothing.
⁃ Consumption prediction – using interval energy and weather data predict further demand for energy that can be used for adjusting BMS to avoid peaks and calculate supply cost.
⁃ Reporting – our energy reporting platform provides all vital energy information about your properties such as energy consumption, GHG emission and reduction tracking, trends and patters with possibility of drilling down to individual meters.

Please see also our CleanTech section where we outline AI/ML solutions for renewable energy sector.