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Why Utilities Should be Tracking the Electric Ford F-150 Sales
On August 5th, 2021 President Biden announced that he was setting a goal for 50% of new car sales to be electric by 2030. Through a joint statement, Stellantis (new name for Chrysler-Fiat), General Motors, and Ford said they “aspired to achieve sales of 40-50% of annual U.S. volumes of electric vehicles by 2030[1].”
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Webinar: Utility Business Intelligence through Data Analytics
Modern utility data warehouses hold the potential for significantly changing the way the utility business is run. Continued deployment of advanced sensors, AMI, automated controllers, monitoring from grid-edge devices (DER, EV, DR) and high bandwidth communication infrastructure means data is available across broad areas of the utility business. When combined with back office databases such as CIS, GIS, relay and automation settings warehouses, planning tools, and access to external data repositories, this presents the utility with a varied and rich set of sources for building advanced applications that leverage the full power of advanced data analytics and machine learnings tools. When combined with customized HMIs, these applications can deliver not only greater insights but can drive significant value through business intelligence and process efficiency improvements. This webinar describes the opportunity and provides an overview of the process of building Data Analytics applications that deliver value to Utilities. The speakers will illustrate various elements of this process using recent projects and publicly available data, highlighting how Data Analytics is changing the utility planning and operations business. Please join us for the experience. Registration Link: https://attendee.gotowebinar.com/register/3546061748672431885 Blog Post: Advanced Data Analytics for the Modern Power System Offerings Page
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Advanced Data Analytics for the Modern Power System, part 2
This is the second post in our series on data analytics for electric utilities and the power system. In this post we explore the steps for implementing a data analytics initiative, which entails a process for data preparation, execution, and presentation. These steps follow a strategic analysis of data science opportunities, including initiative identification and prioritization to align with business objectives. While the steps described in this post are somewhat generalized, additional specific examples of electric utility data analytics applications are available here.
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Advanced Data Analytics for the Modern Power System, part 1
For the electric utility industry, data analytics is a subject of considerable promise but one where the number of possible applications makes it difficult to define a strategy, develop data science initiatives and cultivate a data-driven culture. Given the amount of available data in a utility environment, the potential to realize meaningful business insights and improvements abounds. The challenge is to bridge utility operations (where benefits can be realized) with data science platforms.
