CISEM: Computational Intelligence for Sustainable Energy Management in Microgrids and Renewable Energy Communities
IEEE World Congress on Computational Intelligence 2024 - June 30 - July5 - Yokohama, Japan
Important Dates
15 November 2023 Special Session & Workshop Proposals Deadline
15 December 2023 Competition & Tutorial Proposals Deadline
15 January 2024 Paper Submission Deadline
29 January 2024 Paper Submission Deadline
15 March 2024 Paper Acceptance Notification
1 May 2024 Final Paper Submission & Early Registration Deadline
30 June - 5 July 2024 IEEE WCCI 2024 Yokohama, Japan
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 microgrids and Renewable Energy Communities. Covered topics include Computational Intelligence for Green Technologies Applications, Machine Learning and Big Data analytics for energy management, Learning-based Control of Renewable Energy Generators, Smart Building Energy Management, Energy Storage Systems modeling, and more. The session will foster collaboration among diverse scientific communities and promote the development of innovative algorithms and intelligent systems to enhance sustainability and efficiency in energy production, distribution, and consumption.
CISEM is part of the International Joint Conference on Neural Networks (IJCNN)
DEADLINE EXTENDED TO 29 January 2024!!
Topics of interest include, but are not limited to:
Computational Intelligence for microgrids and Renewable Energy Community
Machine Learning techniques for Energy Management Systems
Evolutionary Algorithms for Complex Energy Systems
Big Data Analytics in Energy Applications
Automatic Fault Detection Algorithms in Energy Systems
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
Algorithms for Electric Vehicles Integration in microgrids
Wear cost models for Energy Storage Systems and other devices in microgrids and Renewable Energy Communities
Keywords: Artificial Intelligence, Smart Grids, energy Management Systems, Evolutionary Computation, Time Series Forecasting, Sustainability, Green Transition, Smart Buildings, Optimization, Battery Storage Systems, Fuzzy Logic, sustainability, Battery Modelling
CISEM 2024 @ WCCI 2024 - IJCNN 2024 - June 30 - July5 - Yokohama, Japan