Achieve business outcomes that matter
Measure, manage, and operationalize your sustainability goals – including decarbonization, energy resources management, and reduced WAGES.
Achieve operations visibility and AI-based optimization, linking plant-floor actions to your enterprise sustainability initiatives.
A system of record to automate accurate GHG data collection, provide valuable insights, and identify ways to reduce carbon emissions
One modular solution to connect, see, control, and optimize DERs from a technical and an economic standpoint
Reduced operational costs and risks using Digital Twins, machine learning and predictive models
Increased network reliability
Advanced analytics to predict future asset and process performance for reduced variability and improved operations
Optimized asset performance to reduce risk and improve safety, reliability, compliance, and efficiency
Optimize assets and processes – from plant-level operations to the enterprise – with self-service process analytics software.
Minimized potential impact of anomalies
Comprehensive visibility of asset health for rapid situational adjustments with quality information
Streamlined mechanical integrity solution to reduce risk, maintain compliance and optimize resources
Develop, implement, maintain, and optimize asset strategies to effectively balance cost and risk
Operational visibility and analysis to reduce asset failures, control costs and increase availability
Performance Intelligence with APM Reliability is your partner in meeting your plant and fleet performance goals.
Predictive analytics software, helps prevent equipment downtime by detecting, diagnosing, forecasting & preventing emerging failures.
The AI-powered product automatically explores the space of operation of gas turbines, builds a machine learning model, and continuously finds the optimal flame temperatures and fuel splits to minimize emissions
BoilerOpt works within existing plant technology to improve boiler productivity and air-fuel ratios in a closed-loop system
Pre-built templates for equipment health monitoring, asset strategies, and process workflows
Operator rounds efficiency and operational impact
Secure and scalable data connectivity, analytics, and application services
Services and solutions to reduce vulnerability and identify, detect, prevent and protect
Turnkey solutions to reduce vulnerability and identify, detect, prevent and protect assets and systems
A globally recognized benchmark for procurement of OT secure products.
Strengthened device security across the development lifecycle
Informed decision making with data and insights from across the enterprise
Native cloud service for a data historian.
Safe and secure management and orchestration of the distribution grid
Network-level optimization with high-performing distribution power applications
Overcome foreseeable load variations
Minimized disruption of service even in extreme weather conditions
Effective management and orchestration to unlock the power of renewables and DERs
Increased output and energy production at times of highest demand
A common network view to ensure electrical integrity, network validity and infrastructure management
Accurately model your asset network, support traceability, help assure data completeness, & support integrity management
End-to-end network connectivity modeling and data workflow management
Software designed to help grid operators orchestrate the grid
Increased efficiency and reduced costs
Secure-by-design connectivity and certification management, and faster operator response
Faster operator response and increased efficiency
Centralized visualization and configuration, digitized processes and intelligence
Full visualization and control seamlessly across devices, including phones, tablets and desktops
Best practices and proven deployment learnings
In-depth understanding of how GE Digital software can help your operations
Holistic performance management for today’s connected enterprise
Management of fast-moving processes as well as slower moving, labor-intensive jobs
Cost savings with improved manufacturing overall equipment effectiveness
Batch automation, regardless of the underlying equipment
Data analysis for quick identification of defects and better optimization of processes
Unified manufacturing data from disparate systems to better meet changing consumer demands
Procedures managed in an electronic format for consistency and predictability
Optimized production with better planning
Improved throughput with greater efficiency and lower costs
Materials to help you better understand GE Digital software and its robust functionality
Integrated solutions for improved efficiency and sustainability while supporting business growth
Energy management for the zero carbon grid
Reliable mobilization of network assets to ensure maximum transmission of energy from multiple sources
Integrated solutions suite for energy market management
Decentralized data collection, data volume handling, and remote management
Getting the most benefit out of digitization and industrial IoT
Services that deliver best-in-class results
Rapid digital transformation wins based on industry-proven value cases and ROI
Best practices for your industrial processes to help build and maintain operational resilience
GE Digital’s expert service and support teams create value and deliver on business objectives
Expert service and support teams to maximize the benefits from your IIoT software
Improved efficiencies, optimized production and quality and reduced unplanned downtime
Increased reliability and availability, minimized costs, and reduced operational risks
Increased value from your equipment, process data, and business models
The cornerstone of your journey to operational excellence
Operational excellence including improved reliability, reduced costs and managed risk
GridOS, the first grid software portfolio designed for grid orchestration
Reduced operational costs and risks using predictive models
Enhanced overall situational awareness
Field-connected operations and management
One modular solution that enables grid operators to connect, see, control, and optimize DERs from a technical and an economic standpoint
Operational efficiency and reduction in build costs while meeting regulatory regulations
Reduced operational and new build costs and improved field inspection productivity
A holistic picture of the grid, reducing cost and complexity from traditional inspection approaches
Optimized operations to best meet changing consumer needs
Reduced variability and improved operations.
In-depth understanding of our software and its functionality
A clear a path to operational transformation
Maintain consistent quality and reduce cost per ton
Optimized costs and improved reliability while reducing risk to keep your teams and communities safe
Streamlined end-to-end operations driving high-volume, high-quality production
GE Digital software is the backbone of modern plant operations
Improved reliability, increased availability, and reduced O&M costs
AI/ML to make your gas turbine's fuel and air controls smarter
Increase energy production at times of highest demand without costly maintenance adders or adversely impacting the maintenance interval
Inclusive outsourcing services that deliver best-in-class results
Achieve digital transformation
Expert service teams to maximize the benefits from your IIoT software
Reduced costs, lower risk, and faster response times
Analytics to predict future asset and process performance for reduced variability & improved operations
A common network view to ensure integrity, network validity and infrastructure management
Mission critical software to better operate, optimize and analyze your work to deliver results
Locate the best partners to meet your needs
Digital transformation acceleration
Technical and domain expertise that complements GE Digital’s industry leading applications
Assistance to accelerate your digital transformation and put your industrial data to work
Deep domain knowledge and technical expertise
Product training, industry education, and rigorous certification programs
More efficient and secure electric grid, greater sustainability and waste reduction
Solutions for today, scale for tomorrow
Increased reliability and reduced reactive maintenance leading to higher efficiency and reduced costs
Using Digital Twin blueprints, GE's Industrial Managed Services team monitors 7,000+ global assets
Understanding of the latest thought leadership that can be applied to your operations
Understand how our software and services help our customers solve today's toughest challenges
Experienced team dedicated to customer success
Success stories and product updates from the world of Electrification Software
Analyst and third-party expert opinions of Electrification Software and our software and services
White papers, product overviews, and other content to help you put your industrial data to work
Experience in leading edge software development and business working with best-in-class leaders
Understand how Electrification software and services helps our customers solve today's toughest challenges
Forecasting 4 wind farms in 18 seconds
Performance increase
Proficy Manufacturing Data Cloud
As a leading utility company with more than $31 billion in global revenues in 2016 and over 32 gigawatts (GW) of total generation, Exelon was developing a strategic plan to enable digital transformation across its business lines. Specifically, Exelon was developing strategies for managing its various generation assets across nuclear, fossil fuels, wind, hydro, and solar power. In addition, the company was also determining how it would leverage the enormous amount of data those assets would generate going forward.
In evaluating its strategies, Exelon reviewed its current on-premises IT/OT infrastructure across its entire energy portfolio. The company’s business leaders looked at the system administration challenges and costs they would face to maintain the current infrastructure. This assessment made digital transformation an even greater imperative and inspired discussions about how Exelon could leverage a combination of edge and cloud technology, rather than expanding or upgrading its existing on-premises infrastructure.
Additionally, Exelon had accumulated decades of operating and organizational data that it had been unable to leverage because it was either siloed or the technology, processes, and expertise to analyze it were not available. The company realized that they needed to bring data, people, and analytics together to improve business outcomes. Further, they needed to solve these challenges at scale.
Exelon knew they needed a shared, centralized approach to managing data, analytics, and solutions so that they could implement their strategy across the company. The individual power generation companies within Exelon each have separate IT departments, and the company had already experienced pain points from the mix of architectures and technology stacks in place at each generation company’s data centers. Going forward, Exelon saw a need to centralize, standardize, and lower costs.
In reviewing its challenges and goals, Exelon found that GE offered tremendous synergy with Exelon’s technology and business imperatives. Further, Exelon found that GE’s renewables and power solutions, built on Predix Platform, address the company’s business imperatives in the areas of asset management, outage excellence, equipment reliability, and Operational Excellence. Exelon quickly realized that GE’s co-innovation approach and Predix Platform’s roadmap were aligned with its long-term needs.
Exelon and GE began working together on ways to achieve the company’s goals using Predix Platform. The companies held a series of technical and visionary collaboration sessions that resulted in selecting five projects to quickly demonstrate the value of using Predix Platform to leverage the right data to drive business outcomes.
One of these projects was finding a new wind forecasting solution. A key challenge with monetizing wind power is that it is difficult to forecast ramp events—when there is excess capacity to sell for the power that will be generated. Forecasts are used by dispatchers, traders, and operations and maintenance planners in regulated and deregulated markets. An accurate forecast is key for all of these stakeholders. Furthermore, accurate forecasting requires the use of detailed meteorological data. This type of data can be expensive if it comes from private data providers.
Along with accurate forecasts, leveraging free data sources such as NOAA in the US can increase the profitability of wind farms. In its current state, Exelon’s wind forecasts were not responsive enough to predict wind ramp events. When wind farms had more capacity, they couldn’t dispatch the additional power in the Midwest Independent System Operator (MISO) market because they could not anticipate quickly enough when power was going to be available.
Exelon and GE took a co-innovation approach to creating a solution. Exelon had access to many of GE’s services—such as data science, architecture, and software engineering—during the solution development process. Exelon gave GE a year of historical data, enabling its data scientists to understand any diurnal and seasonal effects that would impact the forecasts, as well as specific operating characteristics for the four initial wind farms. With that information in hand, GE’s data scientists were tasked with reducing under-forecasting.
GE’s data science team created a net new model—a physical and statistical wind power forecast model based on historical data provided by Exelon. They incorporated diverse data sources and took into account seasonal or time-of-day effects. The result was an industry-leading forecasting solution as measured by a substantial reduction in under-forecasting.
The team was able to increase their time-to-market by using the powerful analytics capabilities and higher-level analytics languages available on Predix Platform. For wind forecasting, the analytics were coded in Python, including all the forecasts and data quality analytics. Data quality is essential for forecasting applications, so the application needed to clean and validate the data prior to use, particularly because upstream systems, such as data historians, do not typically address data quality.
Since Predix Platform’s microservice architecture enables horizontal scalability, the wind forecasting application was able to support wider rollout, including additional wind farms. Not only did the application perform substantially better than Exelon’s stated SLA, it also supported the forecasts for four wind farms, consumed the data from the data historian, ran the analytics in Predix Cloud, and wrote back the results in just 18 seconds—creating a 70% performance increase.
While the application is tuned to reduce under-forecasting in real time, it also improved other forecasts as well. Day-ahead generation relative forecast accuracy improved by 9%, which better enabled outage planning so that maintenance can be scheduled when there is little to no wind, minimizing revenue loss.
While the wind forecasting project was just one of five initial projects across Exelon, the success of these projects have resulted in a long-term enterprise agreement with GE so that Exelon continue to partner with GE to develop robust industrial applications on Predix Platform.
Download the technical story.
Secure and scalable IoT cloud foundation for GE Digital applications