Uncover hidden energy savings potential in your buildings portfolio.
Proactively monitor your buildings to detect inefficiencies and optimize electricity use with real-time data and insights.
Use our AI-powered BEI platform to uncover hidden inefficiencies and drive energy savings across your buildings.
Enhance analytics with our SkySpark plugins and deliver deeper insights to optimize energy performance.
Integrate our AI-powered solutions to enhance your data analytics solution.
Check out our case studies showcasing the possible practical benefits of using machine learning for HVAC operation and energy data analysis. Find and fully exploit the full potential for energy savings.
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.
AI for Main Electricity Meter Analysis: The Basics Artificial Intelligence (AI) is revolutionizing energy analysis by turning granular smart meter data into actionable insights. It
It’s always good practice to double-check your input data before diving into analysis. Sometimes you’ll catch small inconsistencies — and sometimes, you’ll uncover something more
Author Jan Siroky View all posts
At Energy Twin, we’ve been working on a research project exploring how machine learning can be used for general fault detection. Like any good research,
Companies often understand the importance of deploying smart meters and getting data online. They see it as a key milestone—and while it is, it’s only
Detecting anomalies in energy data is key to optimizing consumption, reducing costs, and ensuring building systems run efficiently. With the vast amount of data from
