Machine Learning Could Make Geothermal Energy More Affordable

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Machine learning technology has the potential to unlock the vast potential of geothermal energy, making it more accessible and affordable.

As governments and private companies pump funds into research and development, aiming to achieve the innovation needed to advance renewable energy operations, we are seeing greater progress in the global green transition. With major advances in artificial intelligence AI and other digital offerings in recent years, some energy experts believe that this technology can now be used to enhance energy production, boosting the potential of the world’s geothermal energy output.

” This demonstrates the huge potential of the new technology and could encourage more energy companies to invest in the sector. This month, Zanskar announced it had raised $30 million in a series B funding round led by Obvious Ventures, which values it at $115 million. To date, Zanskar has raised $45 million in funding, which will contribute to greater exploration and the development of its first power plants. The firm plans to work with existing geothermal companies to develop new sites.

 

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