Join our virtual working session:

How to Use Machine Learning to Improve Asset Performance"

Wednesday, 10/28

10am PDT/1pm EDT 

In today’s competitive energy market, operators need to be highly efficient in order to compete.

Join our working session and learn first-hand how to use machine learning to increase asset performance. 

Attendees will be able to participate, ask questions, and walk away with usable python code that they can implement to begin improving asset performance with machine learning.

Register to uncover how to:

  • Identify trends and patterns across intricate data sets 
  • Predict events and automatically detect anomalies using multiple variables 
  • Optimize and increase KPI accuracy 

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Not sure if you can make the live webinar?

Register to receive the recorded event.


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Alec Miller

The Vice President of Product at NarrativeWave, where he works with global renewable energy operators, helping them use machine learning and analytics to improve operations.   He has over 15 years of experience in energy markets across multiple technologies and countries.

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Johnny Dobbins

The Vice President of Engineering at NarrativeWave, where he leads a team of both data scientists and software developers.  He has led client engagements at NarrativeWave across numerous energy verticals, and has over 15 years of experience with python, data engineering, and software development.

About NarrativeWave

NarrativeWave is the first software solution that enables self-service, data-to-decision analytics for the renewable energy industry. The company’s proprietary technology combines insights from machine learning with human knowledge to make real-time decisions and unlock value for critical industrial assets. For more information, please visit