Alphabet’s DeepMind has used machine learning to boost the productivity of wind energy. This use of artificial intelligence (AI) in renewable energy production prediction and energy grid balancing, has a significant impact on the next generation’s understanding of energy consumption. This interesting news came to us from CNBC in their article, “Alphabet’s DeepMind uses machine learning to predict wind power output.”
In 2018, DeepMind and Google started applying machine learning algorithms to 700 megawatts of wind power capacity in the central United States. A neural network was trained on weather forecasts and historical turbine data.
This unique use of emerging technologies reminds us that in the renewable energy sector, tools such as this could be critical now and even more in the future, as sources like the sun and wind do not promise a constant stream of power.
AI offers a unique solution to the challenges and due to its capacity to evolve and learn it will undoubtedly become a critical component of the energy industry.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
