Get insight into your building data with Energy Twin

Energy Twin is a machine learning SkySpark extension for energy consumption analysis

Meet Energy Twin

Energy Twin is a machine learning SkySpark extension for energy consumption analysis. 

ET is designed for efficient monitoring of multiple buildings using artificial intelligence in order to identify problems and reveal the potential for future energy consumption savings and optimization.

 

ET Features & benefits

Anomaly detection

  • AI supervises data in real-time for you
  • A systematic approach regardless of the portfolio size
  • Prioritization by  avoidable energy estimate

Energy savings quantification

  • M&V baseline modeling
  • Peak demand prediction
  • Tailored KPIs for identifying energy saving opportunities

Making 
AI simple

  • You do not need to write a single line of code
  • You do not have to be a mathematical modeling expert
  • Smooth integration with standard SkySpark apps
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Case Studies

This case study accurately illustrates the possible practical benefits of machine learning for HVAC operation. Thanks to ET, a significant potential for energy savings was found and fully exploited during subsequent modifications of the building management system resulting in successful savings in energy consumption and building operation costs.

Features & pricing

Tech specs

Our services

The implementation and operation of the Energy Twin is simple and we provide 2h onboarding support as part of the purchase of each license. We also offer clients the following tailor-made services.

Custom Energy Twin enhancements

We can provide you with custom enhancements, namely:

  • Custom views based on ET model
  • Reports based on ET model
  • Tailored Sparks and KPIs based on ET 

Machine learning 
applications in SkySpark

We will help you with custom ML application in the following steps:

  • Assessment of statistical properties based on your data (using R)
  • Model structure design
  • Custom ML application design and implementation in SkySpark

What clients say?

"Energy Twin allows us to clearly evaluate the performance of energy saving projects and to see the impact of COVID-19 on building operations. The model is accurate and the visualizations are powerful. We’re able to show our customers exactly how their sites are performing post-implementation. In addition, Energocentrum developed custom dashboards for us to further highlight project performance to our customers."
Justin Tiedeman
EcoCosm

Meet our team

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.

Jan
Team Leader
Jana Communications Manager
Martin - Machine Learning Specialist
Martin
Developer
Vaclav
Energy Specialist

Try Energy Twin

You can try ET for free. If you like it, you can start with a small license. With the small license, you can analyse for example up to 20 main site meters at time. For larger projects we do offer also license with higher capacity. Or request a live demo in the form below. 

Pricing & demo

You can try ET demo for free by yourself. If you like it, you can start with a small license. With the small license, you can analyse for example up to 20 main site meters at time. For larger projects we do offer also licenses with higher capacity. See Stackhub for free demo and pricing. Or request a live demo in the form below. 

© 2021Energy Twin is provided by Energocentrum Plus, s.r.o.