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High-Performance Solar Cells by Machine Learning and Pareto Optimality

In: Handbook of Smart Energy Systems

Author

Listed:
  • Giovanni Nastasi

    (University of Catania)

  • Vittorio Romano

    (University of Catania)

  • Giuseppe Nicosia

    (University of Catania)

Abstract

Photovoltaic energy represents a keystone for the transition to renewable energy. A crucial point in the design of new technologies is represented by the optimization of solar cell structures. Here we review the main results obtained using multiobjective optimization algorithms, machine learning techniques, and new perspectives given by organic solar cells.

Suggested Citation

  • Giovanni Nastasi & Vittorio Romano & Giuseppe Nicosia, 2023. "High-Performance Solar Cells by Machine Learning and Pareto Optimality," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 1265-1272, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-97940-9_166
    DOI: 10.1007/978-3-030-97940-9_166
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