Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …

T Ahmad, R Madonski, D Zhang, C Huang… - … and Sustainable Energy …, 2022 - Elsevier
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …

[HTML][HTML] Cyber-physical systems improving building energy management: Digital twin and artificial intelligence

S Agostinelli, F Cumo, G Guidi, C Tomazzoli - Energies, 2021 - mdpi.com
The research explores the potential of digital-twin-based methods and approaches aimed at
achieving an intelligent optimization and automation system for energy management of a …

Machine-learning applications in energy efficiency: a bibliometric approach and research agenda

A Valencia-Arias, V García-Pineda, JD González-Ruiz… - Designs, 2023 - mdpi.com
The high demand for energy resources due to the increasing number of electronic devices
has prompted the constant search for different or alternative energy sources to reduce …

The potential of digital twin model integrated with artificial intelligence systems

S Agostinelli, F Cumo, G Guidi… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The paper explores the use of a “digital twin model” applied to the case study of a residential
district, and organized as a three-dimensional data system able to participate to the …

Characterising Functional Brain Connectivity as Social Network: the Transtopic Centrality Index

G Menegaz, C Tomazzoli, M Cristani… - Fundamenta …, 2020 - content.iospress.com
Graph-based network modeling is becoming increasingly pervasive touching very different
fields. Among these are social networks analysis and brain connectivity modeling. Though …

[PDF][PDF] Artificial Intelligence in Digital Twin for the built environment

C Tomazzoli - BIM GIS - researchgate.net
Articial Intelligence (AI) is a powerful tool for digital twins in the built environment because it
provides the means to automatically achieve advanced analytics, predictive capabilities …

Using Social Network Analysis to enhance the understanding of Brain Connectivity

C Tomazzoli, SF Storti, I Boscolo Galazzo… - Proceedings of the …, 2018 - iris.univr.it
Graph-based network modelling is becoming increasingly pervasive touching at very
different fields, ranging from social networks to brain connectivity. This works is a first attempt …