From prediction to optimization: digital and hybrid approaches for sustainable energy systems
Department of Materials Science and Solar Energy Research Center (MIB-SOLAR), University of Milano-Bicocca, Milano 20125, Italy
  • Volume
  • Citation
    Acciarri MF. From prediction to optimization: digital and hybrid approaches for sustainable energy systems. Renew. Sust. Energy 2026(1):0005, https://doi.org/10.55092/rse20260005. 
  • DOI
    10.55092/rse20260005
  • Copyright
    Copyright2026 by the authors. Published by ELSP.
Abstract

The transition toward sustainable energy systems is no longer defined only by the deployment of renewable technologies. It is increasingly shaped by our ability to manage complexity. As renewable generation expands across power systems, buildings, and distributed energy infrastructures, the central challenge is not simply producing clean energy, but using it more intelligently, more efficiently, and more flexibly.

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