WP3 – Energy Resource Optimization
Leader: Prof. Marco Raugi
This Work Package (WP) aims to study intelligent solutions for optimizing energy resources, based on the analysis of energy consumption data, prediction of available energy resources, optimization algorithms, ICT tools, and artificial intelligence techniques. It will also investigate economic, social and legal issues related with Autarkic Energy Communities, such as socio-economics elements influencing potential participants’ willingness to collaborate in the community, possible community design, and organizational dynamics.
This WP is led by Marco Raugi and Giuseppe Anastasi. It includes 11 faculty members and many PhD/post-doc students from the following departments