Computations for Sustainability

Journal: 

Quantitative Sustainability, C. S. M. C. Stefano Fantoni Nicola Casagli (ed.), Springer Cham

Date: 

2024

Authors: 

S. Salavatidezfouli, A. Nikishova, D. Torlo, M. Teruzzi, and G. Rozza

Parallel to the need for new technologies and renewable energy resources to address sustainability, the emerging field of Artificial Intelligence (AI) has experienced continuous high-speed growth in the application of its capabilities of modelling, managing, processing, and making sense of data in the entire areas related to the production and management of energy. Moreover, the current trend indicates that the energy supply and management process will eventually be controlled by autonomous smart systems that optimize energy distribution operations based on integrative data-driven Machine Learning (ML) techniques or other types of computational methods.