SkySpark is a universal analytical platform for identifying issues, faults, deviations, and anomalies.
We can provide you
with many custom enhancements, namely:
We will help you with custom ML application in the following steps:
We can help you with any step in the process or do it completely:
These case studies accurately illustrate the possible practical benefits of machine learning for HVAC operation. Find and fully exploit the full potential for energy savings.
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
Energy Twin and the University Centre for Energy Efficient Buildings (UCEEB) of Czech Technical University in Prague explored the rising importance of load-side flexibility in today’s dynamic energy systems.
