Energy Twin Machine Learning Plugin for SkySpark

Energy Twin ML plugin for SkySpark is an AI solutions for energy savings and predicting energy consumption.

Energy Twin ML SkySpark Plugin Preview

Energy Twin ML SkySpark Plugin is a machine learning solution for energy consumption analysis, designed to identify problems, reveal energy savings potential and optimization.
 

Features & benefits

Anomaly detection

  • AI supervises data in real-time for you
  • 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 SkySpark and other platforms

SkySpark Integration

SkySpark is a universal analytical platform for identifying issues, faults, deviations, and anomalies.

  • Full integration of SkySpark features (rules, KPIs, tailored views, reports, etc.) and easy to use interface
  • Are you new to SkySpark? We can provide hosting (SaaS) or deliver a SkySpark license with Energy Twin installed
  • Two Energy Twin extensions for SkySpark are available at StackHub:

Services for SkySpark users

Custom Energy Twin enhancements​

We can provide you
with many custom enhancements, namely:

  • Custom views based on ET model
  • Custom anomaly detection 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:

  • Model structure design
  • Custom ML application design and implementation in SkySpark and other platforms

Other services and
complex care

We can help you with any step in the process or do it completely:

  • Professional reports
  • Hosting service
  • Python implementation and complex service for custom models
  • And more…

Case Studies

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 our clients say

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