From prediction to optimization: digital and hybrid approaches for sustainable energy systems

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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Publication Details

Journal
Renewable and Sustainable Energy
Published
2026-03-26
DOI
https://doi.org/10.55092/rse20260005
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

From prediction to optimization: digital and hybrid approaches for sustainable energy systems

M. Acciarri
Renewable and Sustainable Energy
Integrated Energy Systems Optimization
article

From prediction to optimization: digital and hybrid approaches for sustainable energy systems

M. Acciarri
article en

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.

Renewable and Sustainable Energy
University of Milano-Bicocca (IT)
Openalex Percentile: Top 6%
Integrated Energy Systems Optimization
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From prediction to optimization: digital and hybrid approaches for sustainable energy systems — M. Acciarri · Renewable and Sustainable Energy (2026) | TGRS Research Map | TGRS