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Special Session
Special Session on
Computational Intelligence and AI Applications for Sustainable Energy Management in Smart Grids and Energy Communities
 - CISEM 2023

13 - 15 November, 2023 - Rome, Italy

Within the 15th International Joint Conference on Computational Intelligence - IJCCI 2023


Antonello Rizzi
Università di Roma "La Sapienza"

Brief Bio
Antonello Rizzi received the Dr. Eng. degree in Electronic Engineering from the University of Rome "La Sapienza" in 1995 and the Ph.D. in Information and Communication Engineering in 2000, from the same University. In September 2000 he joined the "Information and Communication" Department (INFO-COM Dpt.) of the University of Rome "La Sapienza" as an Assistant Professor. Since July 2010 he joined the "Information, Electronics and Telecommunications Engineering" Department (DIET), in the same University. His major fields of interest are in the area of Soft Computing, Pattern Recognition and Computational Intelligence, including supervised and unsupervised data driven modeling techniques, neural networks, fuzzy systems and evolutionary algorithms. His research activity concerns the design of automatic modeling systems, with particular focus on classification, clustering, function approximation and prediction problems. Currently, he is working on the following topics: Computational Intelligence techniques for Smart Grids and Micro Grids modelling, monitoring and control, Intelligent Systems for Sustainable Mobility, Energy Storage Systems modeling and control,Predictive Diagnostc systems for Condition Based Maintenance in Smart Grids, Complex Systems modelling and control, Granular Computing and Knowledge Discovery, Data Mining Systems in Industrial Applications, Classification and clustering systems for structured patterns, graph and sequence matching, symbolic inductive modeling systems, agent-based clustering and substructures mining. Since 2008 he serves as the scientific coordinator and technical director of the R&D activities in the Intelligent Systems Laboratory within the Sustainable Mobility Pole of Lazio Region. He is author of more than 160 publications on international journals and conferences. He is a Senior Member of IEEE.
Enrico De Santis
University of Rome "La Sapienza"

Brief Bio
Enrico De Santis received the M.A.Sc. (Hons.) and the Ph.D degrees in Information and Communication engineering from "Sapienza" University of Rome (Italy) and worked as an assistant researcher and successively as a postdoc with the Department of Computer Science at Toronto Metropolitan University (Toronto, Canada). Currently, he holds a researcher position with the Department of Information Engineering, Electronics and Telecommunications (DIET) at "Sapienza", with teaching duties in Computational Intelligence and Pattern Recognition courses. His research interests include artificial intelligence, complex systems and data-driven modeling, natural language processing, computational intelligence, neural networks and fuzzy systems with applications in Smart Grids, Renewable Energy Communities and predictive maintenance. Since 2017, he has joined an innovative startup at "Sapienza" University as CTO, dealing with the management of Artificial Intelligence projects in production environments.


The sustainable utilization of energy resources, the increasing complexity of electrical grids, and the emergence of renewable energy communities present significant challenges for energy management and optimization. This Special Session aims to explore the frontiers and challenges within the field of Computational Intelligence, focusing on Evolutionary Computation-based solutions, Fuzzy Logic, and Artificial Neural Networks for the optimal usage and management of energy resources in Smart Grid scenarios. Additionally, the session will address the specific challenges of energy flow optimization in renewable energy communities. Covered topics include Computational Intelligence for Smart Grids Applications, Soft Computing-based Algorithms, Machine Learning, Big Data analytics, Learning-based Control of Renewable Energy Generators, Smart Building Energy Management, and more.


Topics of interest include, but are not limited to:
  • Computational Intelligence for Smart Grids Applications
  • Evolutionary Algorithms for Complex Energy Systems
  • Soft Computing based Algorithms in Energy Applications
  • Machine Learning for Smart Grid Optimization
  • Computational methods for Renewable Energy Community optimization
  • Smart Grids and Big Data
  • Automatic Fault Detection Algorithms in Smart Grid scenarios
  • Learning-based Control of Renewable Energy Generators
  • Smart Building Energy Management
  • Deep Learning for Energy Efficiency
  • Learning Systems for optimal battery management and State of Health estimation
  • Time Series Prediction in Smart Grids
  • Non-Intrusive Load Monitoring
  • Algorithms for Electric Vehicles Integration in the Smart Grid


Paper Submission: September 15, 2023 (expired)
Authors Notification: September 29, 2023
Camera Ready and Registration: October 9, 2023


Massimo Panella, University of Rome "La Sapienza", Italy
Stefano Squartini, Università Politecnica delle Marche, Italy


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


IJCCI Special Sessions - CISEM 2023