Predictive Energy Efficiency

Profit more by consuming less.

What Is Predictive Energy Efficiency?

Our Predictive Energy Efficiency application allows you to minimize all forms of energy consumption on a per-product, per-unit-of-production basis. Predictive models can analyze thousands of process variables and identify the patterns and conditions that allow you to operate in the lowest possible energy state in real-time. Your engineers receive model-driven advice for the best operating conditions to minimize energy, along with tools to rapidly learn the true causes of high energy consumption for both while you are running and while you are down.

See Predictive Energy in Action

Reduce energy consumption while delivering increased productivity

How it works

connect digital twins
Connect Digital Twins
train predictive models
Train Models
analyze predictive models
Analyze Models
deploy predictive models to digital twins
Deploy Models
monitor digital twins
Monitor Twins
analyze and act
Act on Insights

The Predictive Energy Efficiency application encapsulates best practices, templates, dashboards, data sets and custom alerts, empowering your team to innovate with the power of continuous learning.

Increase Efficiency

Acclerates Learning

  • See by-line, by product energy performance
  • Identify best recipes/centerlines to minimize energy
  • Understand top drives for high energy consumption
  • Prioritize trial opportunities to reduce energy
Shedding Light

Drive Insights to Action

  • See real-time anomalies driving energy consumption higher than optimum
  • Understand the energy impact of process changes and operating procedures
  • Act on real-time recommendations to lower energy consumption
Key Benefits of Predictive Energy Efficiency
Insight

Actionable Insights

Being able to measure energy output is one thing. Consolidating and visualizing data in a meaningful way means so much more when it comes to operationalizing corrective actions.

Get a clear picture of any existing variability in your processes (and areas of operation), and its impact on energy consumption and resulting cost.

Normalized information captured and curated by TwinThread ensures you don’t need to be a data scientist to follow the narrative.

Correlations

Confident Correlations

Machine learning provided through TwinThread’s Predictive Operations Platform allows your organization to strongly and confidently correlate what processes are most related to energy conservation or consumption.

Comparative analyses drawn from captured energy consumption data allow your organization to contrast assets, one against the other, to continually improve and optimize energy conservation and performance.

Responsibility

Corporate Responsibility

TwinThread’s ability to provide actionable energy data and insight empowers you to exercise impactful corporate responsibility, by guiding your efforts to eliminate unnecessary consumption.

Meaningfully interpreting the collected data and driving efficiency with the insights TwinThread provides, your organization will be able to boast strong conversation practices.

A welcome by-product of your organization’s ability to achieve greater efficiency through operationalizing insight is the growth of the number on your bottom-line.

Get started today

Follow our simple process to get visibility in minutes, insight in hours and impactful actions in days:

  • Connect Your Data. TwinThread has out of the box connectors to hundreds of industrial data sources.
  • Create Digital Twins. TwinThread creates a digital copy of each of your assets and processes.
  • Deploy Models in real-time to gain real-time insights. Having learned from your history the model applies that learning in real-time.
  • Act on Insights. Operators, engineers, and experts can learn quickly and act confidently.
  • Learn and Iterate. Quickly move from one learning opportunity to the next.