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Data science and AI: The twin engines powering the renewable energy revolution

  Copy link into your clipboard //science-technology.news-articles.net/content/2 .. es-powering-the-renewable-energy-revolution.html
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          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
This article is authored by Drumil Tejas Joshi, Analyst 1 - Monitoring and Diagnostics, Southern Power Company, USA.
The article from MSN discusses how data science and artificial intelligence (AI) are pivotal in advancing the renewable energy sector. It highlights that these technologies are being utilized to enhance the efficiency, reliability, and integration of renewable energy sources like solar and wind into the power grid. AI algorithms help in predicting energy production from variable sources, optimizing energy storage, and managing grid stability. Data science contributes by analyzing vast amounts of data to improve system designs, forecast demand, and reduce costs. The article also mentions specific applications such as AI-driven predictive maintenance for wind turbines, which reduces downtime and extends equipment life, and smart grid technologies that balance supply and demand in real-time. Together, these technologies are not only making renewable energy more viable but are also crucial in the global push towards sustainability and reducing carbon footprints.

Read the Full MSN Article at:
[ https://www.msn.com/en-in/technology/renewable-energy/data-science-and-ai-the-twin-engines-powering-the-renewable-energy-revolution/ar-AA1yK94S ]