Boosting the clean energy transition through data science
A. Fronzetti Colladon, A.L. Pisello, L.F. Cabeza

TL;DR
This paper discusses how advances in Artificial Intelligence and Data Science can support the energy transition and promote environmental sustainability amidst urgent climate change challenges.
Contribution
It reviews recent research on AI and Data Science applications that facilitate policy development and technological innovation for sustainable energy.
Findings
AI and Data Science are increasingly used in energy policy and management
Technological advances support more sustainable and resilient energy systems
Research highlights the importance of data-driven approaches in energy transition
Abstract
The demand for research supporting the development of new policy frameworks for energy saving and conservation has never been more critical. As climate change accelerates and its impacts become increasingly severe, the need for sustainable and resilient socioeconomic systems is increasingly pressing. In response to this global challenge, the ten articles of this special issue seek to explore how advances in Artificial Intelligence and Data Science can drive the energy transition and enhance environmental sustainability.
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