The goal of the workshop:
The 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.

Workshop theme:
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.

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 behaviors, 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.

Workshop Organizers:
Marco Aiello
Institute of Architecture of Application Systems, University of Stuttgart, Germany
Email: marco.aiello@iaas.uni-stuttgart.de

Valentino Peluso
Dept. Of Control and Computer Engineering, Politecnico di Torino, Italy
Email: valentino.peluso@polito.it

Lorenzo Bottaccioli
Interuniversity Dept. of Regional and Urban Studies and Planning, Politecnico di Torino, Italy
Email: lorenzo.bottaccioli@polito.it

Peter Palensky
Dept. of Electrical Sustainable Energy, Delft University of Technology, Netherland
Email: p.palensky@tudelft.nl