7th International Workshop on Rising ICT Solutions for Smart Grids as Multi-energy Systems

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 revolutionise 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 to a large scientific community of researchers attending the next COMPSAC 2026.

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 constraints (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:

1. AI, Data and Knowledge-Driven Intelligence for Smart Energy Systems

• New trends of Artificial Intelligence for Smart Grids
• Deep learning models for smart grid operation
• Generative models for grid planning, management, and operation
• Large Language Models (LLMs) for enhancing smart grids
• Data analytics and machine learning for demand and load forecasting
• Intelligent human-in-the-loop approaches and human–machine interaction
• Semantic web and ontologies for knowledge representation and standardization
• Novel models for renewable energy simulation

2. Digital Infrastructures, Architectures & IoT Platforms

• Internet-of-Things architectures for energy management (from edge to cloud)
• Architectures for energy big data management’
• Zero-trust architectures for energy IoT ecosystems
• HPC and quantum computing for smart grid optimization and anoysis
• Multi-energy systems integration

3. Simulation, Digital Twins & Computational Modelling

• Digital twin for energy transition
• Simulations and co-simulations techniques (e.g., real-time constraints, hardware-in-the-loop)
• Agent-based simulations of smart grids
• Multi-modelling simulations of smart grids

4. Security, Trust & Cyber-Resilience

• Cybersecurity for smart grid operations
• Cyber-resilient architectures for smart grids and energy IoT
• Blockchain and Distributed Ledger Technologies for trustworthy Energy systems