Machine-learning to boost energy efficiency

The article from the Lawrence Berkeley National Laboratory (LBL) News Center discusses how machine learning is being utilized to improve energy efficiency in complex systems. Researchers at LBL are using advanced algorithms to analyze data from various applications, such as industrial processes and data centers. By identifying patterns and relationships in the data, these machine-learning models can optimize energy usage in real-time, resulting in significant energy savings. The collaborative effort between LBL scientists and industry partners ensures the practical implementation of these solutions. Ultimately, this research aims to create more sustainable systems by reducing energy waste and mitigating environmental impact.

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energy efficiency
energy efficiency

The full article is available here.