Reimagine the way you operate.

The energy transition is challenging our grids and grid operators. Kognitwin Grid is our new Industrial Work Surface for power grids, where data, technology and people come together to solve problems. Enabling operators to maximise the value of the grid of today – and of tomorrow.

Increase true collaboration by connecting data, people, and workflows

Get a holistic overview of your grid and its components.

The Industrial Work Surface facilitates a cloud-based environment where your data can be turned into actionable insights spanning across grid departments, user personas and voltage levels.

Solve problems, close out work and inform decisions

Like many other energy companies, use the Industrial Work Surface to enable better decision making, close out work and drive more value.

Break down silos and democratise data

With universal access to centralised data, engineers and operators are better positioned to maximise uptime, model and test grid scenarios, and expedite grid improvements.

This is Kognitwin® Grid

Your digital twin

Kognitwin Grid is a digital twin of the power grid, enabling grid operators to maximize the value of the grid of today – and of tomorrow.

Access data fast

Kognitwin Grid utilizes existing documentation across source systems to create a model of the grid. Replace siloed and fragmented data located in multiple systems with accessible contextualized data. Save time hunting for information and have intelligent, actionable data at your fingertips.

Kognitwin Grid has an always-on simulator engine that performs a full power flow analysis across all voltage levels, including forecasts of future near-time or long-term load flow in the power grid to increase insights and support decision-making from planning to operations. 

Scalable solution

Kognitwin Grid consists of modules that support the way you explore, monitor, optimize, study and maintain your power grid. The SaaS solution is flexible and scalable and can support grid operators that are both beginning, changing, or continuing their digital transformation.

Simulation

The simulation engine can help you forecast load and production down to metre level and perform a load flow analysis of the entire grid. The main output from the load flow is bottleneck detection and voltage quality.

Full visibility

In addition, the solution can include live and planned switch status to reflect the grid topology and identify disconnected areas correctly. This provides an always-on status of the power grid with possibilities to look into the past, present, and future.

All in One

The simulation engine collects, adapts, and contextualises data from different sources and systems to make them available for new applications and use cases.

How Kognitwin® grid supports your business objectives

Improve Grid Utilisation

Identify and forecast bottlenecks and voltage deviation in your grid based on load and production forecasting. Gain insight into overload risk and grid condition. Create scenarios to understand how to better utilize existing grid infrastructure.

Optimise investments

Plan and develop a future-proof grid by running long-term grid scenarios to assess impact of electrification and new intermittent energy.

Improve reliability

Be aware of upcoming operational situations and create scenarios including topology changes and/or the use of flexible assets to alleviate and reduce the risk of overload-based outages.

Take a closer look at the Industrial Work Surface

Learn more about Kognitwin's powerful capabilities in the Industrial Work Surface.

Learn more

Gather more insights by exploring more helpful resources

See how Kongsberg Digital’s deep domain expertise helps industrial organisations achieve more.

The energy industry is undergoing a significant transformation, driven by the rise of smart grids. These advanced systems are not only enhancing the efficiency of energy distribution but also reshaping how we generate, manage, and consume power. A key player in this revolution is Kognitwin Grid, Kongsberg Digital’s software platform that harnesses the power of artificial intelligence (AI) to transform grid operations.


AI-Powered Solutions for Grid Operators

AI is unlocking new opportunities for grid operators, elevating efficiency, reliability, and sustainability across the energy sector. One of the most powerful applications is load forecasting. AI models analyze vast data sets to predict energy consumption patterns with remarkable accuracy. Achieving this precision requires sophisticated model design and high-quality data, but it drives significant innovation within the industry.

Beyond forecasting, AI is revolutionizing grid optimization. It enables operators to manage energy dispatch more proactively, perform detailed load flow analyses, and dynamically allocate resources. These AI-driven capabilities empower grid companies to tackle the growing complexity of modern energy systems with increased agility and insight.


Kognitwin Grid: Redefining Grid Management with AI

Kognitwin Grid is designed to meet the demands of modern energy grids. At its heart is a robust load forecasting engine powered by machine learning algorithms that are continuously trained on real-time data from smart grid infrastructure. The platform ensures data security and integrity with advanced encryption and continuous validation, safeguarding sensitive information and ensuring high-quality data drives all decisions.
By combining real-time analytics, predictive insights, and strong cybersecurity, Kognitwin Grid enables energy providers to make smarter, faster decisions—driving the creation of a more resilient, intelligent grid.


A Comprehensive Approach to Load Forecasting

What sets Kognitwin Grid apart is its holistic approach to load forecasting. The platform integrates a wide range of factors such as weather conditions, demographic trends, and the status of grid infrastructure to generate highly accurate predictions. When supplied with high-quality data, the AI algorithms can achieve forecasting accuracy of up to 95%. However, the integrity of the data is crucial—compromised data can reduce accuracy, highlighting the importance of clean, reliable information in generating trustworthy predictions.

This sophisticated analytics approach is vital for maintaining accuracy as energy systems become increasingly complex.


Beyond Prediction: The Full Potential of Load Forecasting

Load forecasting isn't just about predicting future consumption—it’s the foundation for broader grid optimization strategies. With accurate forecasts, grid operators can manage grid stability, optimize network design, and anticipate disruptions before they occur. Kognitwin Grid also includes advanced features like detailed load flow analysis, bottleneck detection, voltage deviation monitoring, and demand-side management simulations. These capabilities contribute to better grid performance, cost savings, and more efficient energy distribution.

Kongsberg Digital’s Kognitwin Grid - A full load flow analysis of the power grid is calculated based on input from the AI model. The user can navigate through a heatmap, where bottlenecks are highlighted. Users can create scenarios to mitigate identified challenges.


Looking to the Future: Kognitwin Grid’s Roadmap

As Kongsberg Digital continues to push the envelope of AI-powered solutions, its vision for the future is clear: making energy more accessible, reliable, and sustainable for everyone. The roadmap for Kognitwin Grid includes the integration of even more advanced AI capabilities, further enhancing grid optimization and efficiency. These innovations will provide grid operators with the insights and tools they need to meet the challenges of tomorrow—ensuring a future-proof, smarter, and more efficient energy landscape.

Are you ready to empower your grid operations with innovative AI technology?

Contact us today to learn more and schedule a personalized product demo. Together, let's shape a future where energy is accessible, reliable, and sustainable for all.


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The Rise of Smart Grids in the Energy SectorThe Rise of Smart Grids in the Energy Sector

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