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.
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
