Our objective is to improve energy efficiency through state-of-the-art tools and algorithms. We have over 10 years of experience with mathematical modeling of energy consumption and various HVAC appliances. Our team consists of 5 professionals who will provide you reliable support for the Energy Twin. Moreover, we can also offer the development of a custom machine learning solution, if needed.
Our objective is to improve energy efficiency through state-of-the-art tools and algorithms. We have over 10 years of experience with mathematical modeling of energy consumption and various HVAC appliances. Our team consists of 5 professionals who will provide you reliable support for the Energy Twin. Moreover, we can also offer the development of a custom machine learning solution, if needed.
Energocentrum has been operating on the market for over 20 years and is an established player in energy services. The Energy Twin team leverages its background, team and experience to innovate the energy sector with AI.
SkyFoundry’s software solutions are designed to help clients derive value from their investments in smart systems. We use the SkySpark platform and have developed an AI analysis and prediction plugin for SkySpark users.
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
