Energy Twin can analyse and predict data on many buildings in parallel, saving a lot of time for ESCO experts.
With its precise analysis model, Energy Twin reveals new potential for reducing consumption and dramatic cost savings.
If data analysis proves to be outside your current capacity or expertise, Energy Twin offers a comprehensive solution. From the initial stages of setup and implementation through to hosting, and finally providing a personalised report tailored to your requirements.
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.
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.
Introduction Every journey into AI begins with a crucial first step: understanding your data. Many clients approach us eager to jump straight into machine learning
This tutorial is focused on visualization of a model in the app ET Views once it has been identified.
This tutorial is focused on visualization of a model in the app ET Views once it has been identified.
This tutorial is focused on visualization of a model in the app ET Views once it has been identified.
This video demonstrates how to identify a model in the ET Admin app using Energy Twin Analytics.
In the fast-paced environment of fast food restaurants, maintaining the right temperature in freezers and coolers is critical. Any deviation from the optimal temperature range
