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The Promoting Role of Data Analysis Technology in Sustainable Energy

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  • Li, Bin

Abstract

Promoting the development of renewable energy is a key strategy to address global energy supply shortages and climate change issues. With the rapid advancement of data analysis technology, it has injected new vitality into the renewable energy industry. This article discusses the specific applications of core data analysis technologies such as artificial intelligence and machine learning, data mining and pattern recognition, predictive analysis and optimization algorithms in the field of energy. By utilizing data analysis technology, it is possible to monitor the energy network in real time and promptly issue fault alerts. At the same time, it can optimize the operation of the smart grid, increase the output efficiency of green energy, and provide scientific data support for the formulation of energy allocation strategies. Research has shown that data analysis technology provides solid support for the popularization and efficient management of sustainable energy, promotes the green transformation of energy structure, and provides feasible solutions for achieving global sustainable energy development.

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  • Li, Bin, 2025. "The Promoting Role of Data Analysis Technology in Sustainable Energy," European Journal of Engineering and Technologies, Pinnacle Academic Press, vol. 1(1), pages 32-38.
    • Handle: RePEc:dba:ejetaa:v:1:y:2025:i:1:p:32-38
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