GE Digital Achieves #2 Position in Guidehouse Insights Leaderboard: AI Vendors for DER Integration
GE Digital has been recognized as a leader in the Guidehouse Insights Leaderboard for AI vendors in Distributed Energy Resource (DER) integration, scoring 79.8 overall. The strong position is attributed to its extensive portfolio of AI solutions and innovative analytics capabilities that enhance grid management.
This recognition highlights GE Digital’s commitment to addressing the challenges of renewable energy adoption and grid stability, leveraging advanced technologies like machine learning and predictive analytics.
- GE Digital scored 79.8 on the Guidehouse Insights Leaderboard, ranking second among 14 vendors.
- The company's extensive AI solutions portfolio supports faster renewable adoption and grid management.
- Innovative analytics capabilities improve grid optimization and foster advanced forecasting and EV charging.
- None.
- Breadth of portfolio, proven technology, staying power, and geographic reach are contributors to leadership position in Guidehouse AI for DER Integration Leaderboard
- GE Digital recognized as a leader with a holistic approach, offering a substantial portfolio of AI solutions for DER integration to accelerate renewable adoption
- Leadership score was influenced by an extensive portfolio of new innovative AI focused grid analytics alongside predictive capability extensions within established, proven grid management and Renewables & DER Orchestration solutions
The Guidehouse Insights Leaderboard report evaluates the relative strengths and weaknesses of vendors active in any major market segment. In this report, Guidehouse evaluated 14 vendors that determined their overall position in their
GE Digital’s dual approach to analytics enables a utility to utilize a data science platform to perform analytics or leverage a portfolio of analytic capabilities. The analytics capabilities are embedded within existing IT and OT systems or offered as functional, application agnostic modules. GE Digital’s microservices-based solutions, offer deployment flexibility, faster time to value, and interoperability with existing legacy systems and vendors.
The report highlights GE Digital’s broad analytics solutions that enable faster, higher fidelity, data access and optimization that is required to address the challenges posed by increasing DER penetration on the grid. Leading-edge solutions leverage AI capabilities including computer vision, natural language processing, and machine learning (ML) for detection, prediction, forecasting, optimization, and overall grid management. ML is foundational to the GE Digital portfolio to optimize complex actions that span grid use cases including asset inspections, vegetation management, and storm preparedness.
“Advances in analytics capabilities and the influx in available data have positioned AI as a successful and necessary tool for grid management,” said
Offering an analytics platform, analytic modules, and DER-enabled ADMS, Energy Management Systems (EMS), Geospatial Information Systems (GIS) and Market Management solutions contributes to GE Digital’s Technology and Go-to-Market Strategy scores. Focusing on grid analytics, it has extended its portfolio to include advanced forecasting, EV charging optimization, and integration of small-scale renewables. Having
“Advanced AI-based analytics are a key enabler to orchestrate DERs and manage the pace of change, scale, and complexity,” said
For more information on the report.
About GE Digital
GE Digital is transforming how industry solves its toughest challenges. GE Digital’s mission is to bring simplicity, speed, and scale to its customers’ digital transformation activities, with software that helps them to better operate, analyze and optimize their business processes. GE Digital’s product portfolio – including grid optimization and analytics, asset and operations performance management, and manufacturing operations and automation – helps industrial companies in the utility, power generation, oil & gas and manufacturing sectors put their industrial data to work. For more information, visit www.ge.com/digital.
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GE Digital
ellie.holman@ge.com
Source: GE Digital
FAQ
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