
When Targets Meet Reality: What Good and Undesired Behaviour Really Looks Like
Machine learning can be used not only to define realistic energy targets, but also to estimate the impact of specific improvement measures. By adjusting selected
Obtaining detailed and comprehensive reports on building energy consumption is time-consuming and financially demanding.
With Building Energy Insights, users can upload data and instantly receive comprehensive AI-powered recommendations based on benchmarks.
Building Energy Insights will help analyze new savings opportunities across the building portfolio and enable clear reporting.
Facility managers get an immediate overview of the data of the entire portfolio of the buildings with minimal effort.
Building Energy Insights enables energy auditors to analyze Level 1 and Level 2 EEMs.
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Machine learning can be used not only to define realistic energy targets, but also to estimate the impact of specific improvement measures. By adjusting selected

What does ideal energy consumption look like for a building? Many facility teams start with general benchmarks – typical kWh/m² per year for a given

Perspectives Large language models (LLMs) have rapidly become one of the hottest topics across industries, and the building and energy domains are no exception. Over

In the realm of energy data evaluation, machine learning models have unlocked significant potential. These tools support everything from energy conservation analysis to anomaly detection

Some years ago, there was an energy-saving modernization project on a building in the Czech Republic. Manual HVAC controls were replaced by a modern automation

As electric vehicles (EVs) become more common, managing their charging demand presents new challenges – especially in buildings with limited grid connections. In this week’s