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AI-Enhanced Satellite Image Resolution
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Enel is looking for a novel, super resolution AI tool and algorithm to improve the spatial resolution of Open Satellite Data for monitoring large-scale photovoltaic, BESS (Battery Energy Storage Systems), wind power plant sites, the detection of new solar installations, and the analysis of urban conditions such as new or abandoned buildings.
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REWARD
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EXPIRATION DATE
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opportunity to collaborate with Enel plus $10,000
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04 March 2025
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Artificial intelligence (“AI”) is evolving rapidly and is playing an increasingly important role in data analysis and complex problem solving. The energy sector is no exception. One of the pillars of Enel's strategy is digital transformation, with a strong focus on technological innovation and sustainability, and so it’s natural that the Group has decided to make the use of AI a key feature in all areas of its business. This is in order to improve operational efficiency, optimize the management of energy resources, and develop new and increasingly sustainable solutions.
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In the era of data-driven decision-making and artificial intelligence, organizations face significant challenges in acquiring, managing, and utilizing high-quality datasets.
Critical issues include the acquisition method and the maximization of the resolution of the data which will subsequently have to be processed by specific tools, depending on the final use case.
Traditionally, the monitoring of large infrastructure has relied on manual visual inspections, involving both staff and suppliers, or occasionally through drone surveys or high-resolution satellite data. However, the current process requires significant manpower to collect, verify, process, and share information, leading to many hours of work for all the parties involved, and generally including the need for a physical presence on site. We want to make this process more efficient through a super-resolution algorithm that can maximize the resolution of images for a specific area of interest, starting from freely available satellite data.
This is where you come in.
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Enel is seeking a novel resolution enhancement AI tool designed to improve the spatial resolution of freely available (i.e., Sentinel-2) satellite imagery to be applied to the energy sector, for use cases such as wind and photovoltaic power plant construction sites, small-medium photovoltaic installations, and of buildings in urban/suburban areas, etc.
This technology aims to demonstrate the effectiveness of high-definition images from low-resolution satellite data, enhancing the capacity for the analysis and monitoring of large-scale infrastructure. By leveraging advanced image processing techniques and machine learning, the algorithm should provide improved visual clarity and greater detail.
THE CHALLENGE IS RESERVED TO ALL THE LEGAL ENTITIES WHICH: QUALIFY AS COMMERCIAL ENTERPRISES (“SOCIETÀ COMMERCIALI”) UNDER ITALIAN LAW; AND ARE NOT PART OF THE ENEL GROUP.
(Further technical details can be found on the challenge page)
Proposals should be written in English.
The deadline for solution submissions is March 4, 2025.
Are you up for the challenge?
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ASSOCIATED SUSTAINABLE DEVELOPMENT GOALS
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