HARNESSING DATA ANALYTICS FOR SUSTAINABLE BUSINESS GROWTH IN THE U.S. RENEWABLE ENERGY SECTOR

HARNESSING DATA ANALYTICS FOR SUSTAINABLE BUSINESS GROWTH IN THE U.S. RENEWABLE ENERGY SECTOR

February 2024 | Akoh Atadoga, Kehinde Feranmi Awonuga, Chidera Victoria Ibeh, Chinedu Ugochukwu Ike, Kehinde Andrew Olu-lawal, & Favour Oluwadamilare Usman
The U.S. renewable energy sector is at the forefront of addressing global environmental challenges, with a growing emphasis on sustainability and clean energy alternatives. This review explores the pivotal role of data analytics in fostering sustainable business growth within this dynamic industry. Data analytics serves as a powerful tool for harnessing insights from vast and complex datasets generated by renewable energy systems, enabling informed decision-making and strategic planning. The review highlights how data analytics can be used for predictive maintenance, real-time monitoring, and optimizing operations, enhancing efficiency and contributing to long-term ecological objectives. Additionally, it discusses the role of data analytics in promoting innovation and research, identifying areas for technological advancements, and accelerating the development of cutting-edge solutions. The review also addresses the challenges and opportunities associated with the integration of data analytics, including data security, regulatory compliance, and the need for skilled professionals. Finally, it emphasizes the importance of leveraging data analytics to drive sustainable business growth and contribute to global efforts to address climate change and achieve a more sustainable energy future.The U.S. renewable energy sector is at the forefront of addressing global environmental challenges, with a growing emphasis on sustainability and clean energy alternatives. This review explores the pivotal role of data analytics in fostering sustainable business growth within this dynamic industry. Data analytics serves as a powerful tool for harnessing insights from vast and complex datasets generated by renewable energy systems, enabling informed decision-making and strategic planning. The review highlights how data analytics can be used for predictive maintenance, real-time monitoring, and optimizing operations, enhancing efficiency and contributing to long-term ecological objectives. Additionally, it discusses the role of data analytics in promoting innovation and research, identifying areas for technological advancements, and accelerating the development of cutting-edge solutions. The review also addresses the challenges and opportunities associated with the integration of data analytics, including data security, regulatory compliance, and the need for skilled professionals. Finally, it emphasizes the importance of leveraging data analytics to drive sustainable business growth and contribute to global efforts to address climate change and achieve a more sustainable energy future.
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