ICT4SmartGrid 2020: The 1st IEEE International Workshop on Rising ICT
Solutions for Smart Grids as Multi-energy Systems
Call for Papers
Goal of the workshop:
This workshop aims to attract practitioners and researchers in all fields of ICT (e.g., Artificial Intelligence, Big Data, Internet-of-Things, Blockchain, etc…) applied to the domain of smart grids intended as Multi-energy Systems
In the scenario of Smart Grids as part of next generation Smart Cities, multiple cutting-edge ICT technologies are playing a leading role. Among the others, Artificial Intelligence and Machine Learning algorithms (including Deep Learning Networks) provide a data-driven way to demand and load forecasting. Internet-of-Things architectures coupled with Big Data frameworks are beneficial to the efficient gathering and management of energy information. Latest Blockchain technologies promise to revolutionize the energy marketplace by introducing dynamic smart contracts. Simulation and co-simulation techniques (including agent-based simulations, hardware-in-the-loop) provide a basis for testing novel energy management policies at multiple spatio-temporal resolutions.
Hence, we are confident that our workshop theme will be of interest for a large scientific community of
researchers attending next COMPSAC 2020.
The concept of the smart grid is not limited only to introducing novel solutions for making electric distribution networks smarter; it also includes a holistic view of integrated Smart Multi-Energy Systems (SMESs), with the goal of planning the correct deployment of energy resources, including renewable ones. Developing such SMESs needs a strong multidisciplinary approach taking a multiplicity of heterogeneous factors into account, including the operational phase of energy systems, resources and consumption requests, people behaviours, energy network constrains (i.e. gas, heating and electricity networks).
Scope of the workshop:
Authors are invited to submit original technical papers and novel research contributions in any aspect of Smart Multi-Energy Systems and covering, but not limited, to the topics of interest listed below:
- Blockchain for smart grids;
- Internet-of-Things architectures for energy management;
- Architectures for energy, big data management;
- Data Analytics and Machine Learning for demand and load forecasting;
- Novel models for renewable energy simulation;
- Simulations and Co-simulations techniques;
- Simulations under real-time constraints;
- Simulations with hardware in the loop;
- Agent Based Simulations of Smart grids;
- Multi-modelling simulations of Smart Grid;
- Multi-energy systems integration;
In addition to regular papers, we welcome industrial practice reports, especially from industry. Accepted papers will be published in COMPSAC proceedings at IEEE Xplore.
Likely participants: Computer engineers, as well as any researchers operating in the field of Information and Communication Technologies applied to energy management and power systems are called to participate and exchange ideas and techniques.
Marco Aiello, Institute of Architecture of Application Systems, University of Stuttgart, Germany
Lorenzo Bottaccioli, Dept of Control & Computer Engineering, Politecnico di Torino, Italy
Peter Palensky, Dept of Electrical Sustainable Energy, Delft University of Technology, Netherlands
Edoardo Patti, Dept of Control & Computer Engineering, Politecnico di Torino, Italy
Sara Vinco, Dept of Control & Computer Engineering, Politecnico di Torino, Italy
Andrea Acquaviva, University of Bologna, Italy
Ettore Bompard, Politecnico di Torino, Italy
Davide Brunelli, University of Trento, Italy
Milos Cvetkovic, Delft University of Technology, Netherland
Ana-Maria Dumitrescu, University of Bucharest, Romania
Laura Fiorini, University of Groningen, Netherland
Marco Jahn, Eclipse Foundation, Germany
Mikkel Baun Kjærgaard, University of Southern Denmark, Denmark
Ariel Liebman, Monash University, Australia
Zofia Luszko, Delft University of Technology, Netherland
Bo Nørregaard Jørgensen, University of Southern Denmark, Denmark
Marco Pau, RWTH Aachen University, Germany