Resource

Digital Transformation in Energy

Cloud Technology: A Transformative Force in the Energy Transition

Energy and utility companies are undergoing drastic change. Worldwide, we are enabling a massive energy transition, electrifying everything (causing increased loads), and experiencing extreme and unpredictable weather patterns. Accompanying all these changes are vast quantities of data that must be stored, managed and analyzed to operate today’s grid and plan for its future. In this era of change, digital transformation is widely considered to be key to business’ survival (Forbes). Rich Graves, VP of Product Management at Energy Exemplar, notes that the key tenants of digital transformation are collaboration, scalability, and taking advantage of advanced capabilities and technologies provided in the cloud.

Graves also notes that digital transformation begins with updating processes and moving to tools and technologies that provide more value than older, traditional resources. Moving to cloud technologies will allow energy and utility companies to uplevel their processes and gain competitive advantage. Accenture notes: “Energy companies that fail to take advantage of cloud’s connectivity, flexibility, and security will find it exceedingly difficult to achieve the business resilience, variable cost modes and value optimization capabilities that enable competitiveness.”

Ready to learn more about how cloud technology can enable your digital transformation journey? Look no further. On this page you’ll find the following resources to get you started:

Expert Interview

Key Advantages of Digital Transformation

"The biggest tenants of digital transformation I would think about are collaboration, scalability, and the value of cloud you can get that's not available on-premises, in data centers, or on a user's desktop."

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PLEXOS Cloud

PLEXOS Cloud brings more interaction, greater precision, and deeper contextual insights to energy market modeling. With PLEXOS Cloud’s flexible infrastructure, stay ahead of the curve by scaling compute capacity for peak study periods and stochastic runs.

  • Create one source of truth for the entire organization
  • Maximize your profitability across multiple commodities
  • Reduce your IT costs and timelines
  • Make decisions based on real-world scenarios
  • Streamline your input/output processes and reduce errors
  • Work more efficiently across teams by eliminating iterative planning
  • Consolidate separate forecasting tools into one master hub
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What Our Customers Are Saying

I would recommend PLEXOS Cloud for its scaling capabilities. You know, running on premises can get you far enough sometimes, but oftentimes when you need to do a lot of simulations, having the ability to scale up and do thousands of simulations in a very short timeframe and be able to parallelize all of that is something that's crucial, especially for our work as consultants - that's often on short timelines and we need to iterate a lot. So, I'd say that's probably the best use case that we've found so far.

Zach Tzavelis_E3_Headshot

Zach Tzavelis
Senior Consultant, E3

PLEXOS is used by members of my team, and they often collaborate together - both users in Europe as well as users in the US. We have the Cloud version of PLEXOS, so everyone can view each other's runs, their cases. My interaction personally as a manager of users is primarily focused on understanding how my team have chosen to model the way they've modeled. And then of course, interrogating the results, doing the quality assurance on them.

Ian Luciani

Ian Luciani
Head of Power Sector, BP

If I look at the modeling scenarios that AEMO produces - one is called an Integrated System Plan and this projects what the national electricity market, which is the eastern seaboard effectively of Australia, what it will look like in the next 20 years.​

That's not easy to forecast, to model. So, we run a number of different types of scenarios, a central scenario and a step change scenario [in PLEXOS Cloud]. The step change is more of an accelerated transition of the energy sector.​

We’re seeing improvements of up to 77% in our central modeling scenarios and upwards in the 90%s of our step change scenarios.

Jerome Declerck_AEMO_Headshot

Jerome Declerck
Group Manager – Enterprise Application Services, ​AEMO

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