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AI and Intermittency Management of Renewable Energy

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AI-Powered IoT in the Energy Industry

Part of the book series: Power Systems ((POWSYS))

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Abstract

The existence of sunlight, air, and different resources on Earth must be used wisely for human welfare while also safeguarding the environment and its living creatures. The use of the sunlight and air as a significant source of renewable energy (RE) is already an object of research and development in recent years. The high integration costs of various RE energy sources are a significant hurdle to their development. The RE contributes different energy domains: wind energy, solar energy, geothermal energy, hydro energy, ocean energy, bioenergy, hydrogen energy, and hybrid energy. Nowadays, artificial intelligence (AI) plays an inevitable role in RE, and it could assist in achieving the future goals of the RE. AI approaches in the research and development of the abovementioned RE sources will be comprehensively analyzed. This chapter analyzes and discusses challenges estimating the value creation of AI methods in RE.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India

    P. Nagaraja, S. P. Gayathri, S. Karthigai Selvi & S. Lakshmanan

Authors
  1. P. Nagaraja
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  2. S. P. Gayathri
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  3. S. Karthigai Selvi
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  4. S. Lakshmanan
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Editor information

Editors and Affiliations

  1. Department of Data Science, Christ University, Lavasa, Maharashtra, India

    S. Vijayalakshmi

  2. School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

    Savita .

  3. Shiv Nadar University, Delhi-National Capital Region (NCR), India

    Balamurugan Balusamy

  4. Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

    Rajesh Kumar Dhanaraj

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Nagaraja, P., Gayathri, S.P., Karthigai Selvi, S., Lakshmanan, S. (2023). AI and Intermittency Management of Renewable Energy. In: Vijayalakshmi, S., ., S., Balusamy, B., Dhanaraj, R.K. (eds) AI-Powered IoT in the Energy Industry. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-031-15044-9_1

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  • DOI: https://doi.org/10.1007/978-3-031-15044-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15043-2

  • Online ISBN: 978-3-031-15044-9

  • eBook Packages: EnergyEnergy (R0)

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