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Special Session
Special Session on
Computational Intelligence for Energy Management and Storage
 - CI4EMS 2020

2 - 4 November, 2020

Within the 12th International Joint Conference on Computational Intelligence - IJCCI 2020


Alessio Martino
University of Rome ”La Sapienza”

Brief Bio
Alessio Martino graduated in communications engineering (summa cum laude) from the University of Rome “La Sapienza,” Italy, in October 2016. His bachelor’s and master’s degrees theses regarded EU-FP7 and EU-FP8 projects, respectively. From November 2016 to November 2019, he has served as a Ph.D. Research Fellow in information and communications technologies with the Department of Information Engineering, Electronics and Telecommunications, University of Rome “La Sapienza,” with a final dissertation on pattern recognition techniques in non-metric domains. He currently holds a Postdoctoral Research Fellow position with the University of Rome “La Sapienza.” He has served as a Scientific Collaborator with Consortium for Research in Automation and Telecommunication, Rome, Italy. His research interests include machine learning, computational intelligence, and knowledge discovery. He is currently focusing on large-scale machine learning, advanced pattern recognition systems, big data analysis, parallel and distributed computing, granular computing and complex systems modeling, in applications, including bioinformatics and computational biology, natural language processing, and energy distribution networks.
Fabio Mascioli
University of Rome “La Sapienza”



The increasing amount of fuel consumption and CO2 pollutions pushed both academia and industrial partners towards the development and implementation of sustainable and advanced energy management strategies. In most cases, the (possibly joint) reduction of costs and emissions leads to the definition of hard optimization problems, possibly mixed-integers and non-convex, which can be solved more effectively (albeit approximately) using computational intelligence techniques.

With this special session, we aim at collecting research and application papers describing current approaches on data-driven modelling for intelligent energy management and storage. This special session aims at being cross-disciplinary: prospective papers may regard neural, fuzzy and evolutionary approaches, or their hybridisation. Surveys and positions papers are also welcome.

Topics of Interest
Topics include, but are not limited to:
  • Energy Storage Systems: Modelling, System/Parameters Identification, State of Charge/State of Health Estimation, Cell Balancing
  • Design of Energy Management Systems in Scenarios Such as: Smart Grids, Microgrids, Hybrid/Electric Vehicles, Smart Buildings
  • Optimal Energy Flows in Smart Grids and Microgrids (Especially Integration with Storage Systems and Renewable Energy Sources)
  • Life Cycle Analysis and Optimization of Energy Storage Systems
  • Intelligent Control of Hybrid/Electric Vehicles
  • Battery Systems: Fast Charging Strategies


Paper Submission: September 21, 2020 (expired)
Authors Notification: September 28, 2020
Camera Ready and Registration: October 6, 2020


Enrico De Santis, University of Rome "La Sapienza", Italy
Emanuele Principi, Università Politecnica delle Marche, Italy
Antonello Rizzi, Università di Roma "La Sapienza", Italy
Alireza Sadeghian, Ryerson University, Canada

(list not yet complete)


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, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) 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 - CI4EMS 2020
e-mail: ijcci.secretariat@insticc.org