Transforming Solar Energy Data with Borealis: AI-Driven Precision and Efficiency

Renewable EnergyAI modelSustainable Future

Borealis Solar: Revolutionizing Renewable Energy with AI Precision

The Urgent Need for Renewable Energy

In a world grappling with the urgent need to reduce carbon emissions and transition to sustainable energy sources, renewable energy stands as a beacon of hope. With the potential to transform the way we generate power, renewable energy sources such as solar, wind, and geothermal offer a cleaner and sustainable alternative to environmentally damaging fossil fuels. In particular, solar power capacity, displayed in yellow in the graph below, is growing at nearly twice the rate of Hydropower, Wind, Bioenergy, and Geothermal installations combined.

Renewable Power Global Capacity Growth chart

However, despite the clear benefits and a strong growth in solar energy installations, renewable energy projects often face significant hurdles in securing investment due to high initial costs, uncertain ROI, and the complexity of correctly forecasting energy production.

Precise estimations is particularly challenging in geographically complex terrains like Japan, whose mountainous landscape creates significant variability from the data provided by sparsely-located weather stations. The only publicly available data source in Japan is available.

日射量データベース閲覧システム

Accelerating Renewable Energy Projects with Borealis Solar

Borealis Solar is an AI model developed by Recursive that leverages satellite and topography data together with machine learning and physics-based modeling to deliver high-precision solar radiation and power output predictions at scale, transforming investments and planning in renewable energy projects.

What sets Borealis Solar apart is its exceptional accuracy and flexibility. Borealis has already delivered radiation predictions with 96% yearly and 94% monthly accuracy, enabling reliable planning and decision making. The system can also make accurate predictions at significantly higher detail, such as a resolution at the square-meter level, when supplied with sufficiently-detailed topological maps.

Hybrid model: Physics + Machine Learning diagramSolar Power Distribution by Geographic Location diagram

High-precision is also provided in our solar panel power output predictions by combining factors like wind speed data to predict the temperature of the solar panels, improving accuracy over traditional approaches that only factor in air temperature data. Our 20 years of historical data also give meaningful insights into the expected variability of solar power output for a particular site over time, helping de-risk investment decisions.

Solar Radiation to Solar Panel Output diagram

Importantly, while many companies previously had to make a tradeoff between precision and speed in analyzing a potential solar investment, Borealis Solar also enables teams a significantly shorter turnaround in assessing project viability without sacrificing confidence in prediction accuracy, enabling companies to consider a larger number of candidate locations than previously possible.

“The Borealis platform, and in particular our solar estimation model, has a huge potential for different applications such as energy production and forecasting but also urban and rural planning. Having such a high-resolution mesh map, that leverages the power of our hybrid AI-physics based model, enables previously impossible use cases that rely on precise predictions to work“

Photo of Quentin Siutkowski, Project Manager

Quentin Siutkowski, Project Manager

Partnering for a Sustainable Future

Beyond its immediate impact on renewable energy investment and planning, Borealis Solar is part of Recursive’s goal to harness the power of AI for effective environmental management. By leveraging advanced technology, we can tackle pressing issues such as nature conservation, land-use optimization, and ecosystem preservation.

For anyone interested in using Borealis Solar, Recursive offers customization services and support. Our mission is to create a fairer, more sustainable society through the use of advanced technology. We offer AI system development and consultation services, combining our expertise in artificial intelligence with domain knowledge from diverse industries, including environment, energy, medical, pharmaceutical, food, and retail. Our engineers and consultants are passionate about developing world-class technology in order to leave behind a better environment and society for future generations.

For more information on how Recursive can help you solve solar power estimation or related issues, please contact us.

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Bringing innovation to business and solving social issues with AI technology

In order to build a sustainable society and environment, companies are required to transform the socio-economic and business practices that have caused problems in the past. And we know that AI technology is a tool with high potential for realizing sustainable innovation. Recursive has defined and focused on four areas where the use of AI is particularly effective in sustainability.

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Accelerate Innovation →Increase Productivity→Deliver better work and education→Prepare for future risks

Recursive's reason for existence

Build a fairer, more sustainable society

By utilizing technology, realize a fairer and more sustainable society

Innovative approaches that utilize AI technology lead to fundamental and sustainable solutions to social issues. We continue to work with companies to create these solutions while prioritizing ethics.

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