Call for Articles - Enhancing Utility Business with Data Analytics and Artificial Intelligence - [Energy Central Special Issue Series]

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This item is part of the Data Analytics & Intelligence - December 2021 SPECIAL ISSUE, click here for more

Data has quickly become among the most important assets a utility has in its toolbelt. While the value of generation, transmission, and distribution infrastructure are still the basis of the industry, increasingly it's the data that's driving business decisions on how to treat that equipment, what optimization is possible for customers, and how to best meet a utility's core goals of delivering reliable, affordable, and clean energy. 

The collection of that data has defined the evolution towards smart utility practices to date, but the time is here to focus even more strongly on analyzing and using that data in the best possible way. Every business decision by a utility leader can and should be informed by data analytics, and often the best way to do so is to introduce aspects like artificial intelligence and machine learning to comb through the troves of data for the most critical and actionable insights. 

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But one of the main challenges in this evolution remains in the fact that utility leaders have countless different approaches they can take to incorporate these opportunities. So, we want to turn the question to you, the Energy Central Community in our latest Special Issue: "Enhancing Utility Business with Data Analytics and Artificial Intelligence."

We want to hear your stories, your questions, and your plans for moving into these unchartered waters of the future utility industry.  This upcoming Special Issue presents a unique opportunity for you to share your experiences with peers in the industry and perhaps even help kickstart conversations that help you and others uncover new potential solutions and opportunities. 

Below are a few topic prompt ideas:

  • What areas of your utility are getting the most out of data analytics today and which are the furthest behind? 
  • What benefits has the introduction of AI and machine learning created for your business operations? 
  • How do you hope for customer engagement to be enhanced with the new data opportunities you have? 
  • What hardware, technology, and equipment is necessary for you to move more quickly towards your data analytics goals? 

With your submission to the December 2021 Special Issue on 'Enhancing Utility Business with Data Analytics and Artificial Intelligence,' we invite you to consider the above questions and more and participate in the group knowledge sharing and brainstorming process only available via the Energy Central Community. 


How you can Participate: 

For Professionals who work for a Utility, IPP, RTO, or Government Agency

We're inviting submissions from experts and leaders who have expertise in our Special Issue topic. This is an opportunity to share with your fellow community members your hands-on experiences and lessons learned, as well as predictions for the coming years.

*For professionals who work for utilities, IPPs, RTOs, or government agencies, submission is free. See below for details on how to submit an article and for deadlines. 

Invitation for Solution Providers and Industry Vendors to Get Involved:

This Special Issue is a great way to share your insights and message with the power industry. To learn how you can contribute an article or become an official content sponsor of this special issue, please get in touch with a client representative at or Download our Product Guide now for more information. 

Instructions for Participation:

Send your submissions to with the subject ‘Data Analytics' If you need feedback on your submission idea, feel free to send questions or even an abstract to the same email address.  We are looking for more in-depth articles on this subject (5-10 paragraphs)- a little more than what you would typically share as part of a community blog post.  

  • Abstract due date (optional): November 15th, 2021
  • Final submissions due date:  December 3rd, 2021
  • Issue deployment date: December 9th, 2021

To learn more about our Special Issue Article Guidelines and Review Processfollow this link.


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