We are a team of researchers and scientists with deep expertise in smart grids, data science, and optimisation. We share a long experience in research and pilot projects on decentralised energy management.
Our Vision – Smarter Grids
We believe that our distribution grids and smart energy suppliers will manage the flexible assets, such as EVs, and energy communities with novel business models, supported by smart algorithms.
Our Mission – 4D Energy Future
We are implementing innovative techniques and business models to reach the customer-centric energy future – Decarbonisation, Digitalisation, Decentralisation, and Democratisation.
Senior engineers, scientists, and academic researchers with over five decades of experience in the energy industry.
Gianluca has a large experience in multinational corporations in the energy business, having been an asset manager for photovoltaic plants and a research engineer in the oil and gas industry. In academic research, he applied modelling and optimization techniques in renewables and smart grid projects. In SUPSI, he was also a lecturer for the course “Design of Energy Systems.” Gianluca holds an M.Sc. in Mathematical Engineering from the Politecnico di Milano.
Davide is a senior researcher leading the Energy Systems research sector at SUPSI. He gained several years of industrial experience, designing industrial automation systems and developing real-time software for embedded electronics. During the last seven years, he researched, developed, and trialled in pilot projects, fully decentralized energy management systems. He has been involved in Blockchain technology since 2013, with an enthusiasm that only grew during the time.
Alfredo is a creative technologist and systems engineer, passionate about man-machine interaction and seamless user experiences. He loves to learn and focus on developing innovative solutions to help people and corporations solve new challenges. Currently, he is into data engineering & cloud architecture for IoT systems.
Giulia holds a Ph.D. from the Center for Astrophysics and Supercomputing of Swinburne University of Technology. In her thesis, she used advanced linear regression and multiparametric analysis methods to explore the co-evolution of galaxies and black holes. After her studies, she matured a solid experience in Data Science while working at different-sized companies in Australia. She has also freelanced for a few startups, helping them build bespoke analytics tools. She is a deep learning enthusiast and has a genuine interest in renewable energy and decentralised systems.
Vasco holds an M.Sc. in Micro-Engineering from the EPFL and a Ph.D. in Neuroinformatics from ETHZ. He currently leads the Intelligent Energy Systems Team at SUPSI, where is also teaches the “Introduction to Smart Grid” course. His main competencies are system identification, algorithmics, modelling, and simulation. He is the coordinator at SUPSI for the SCCER FURIES. His team runs a number of pilot projects in the field of demand-side management applied to smart grids.
Zeno holds a B.Sc. in Computer Science from the University of Italian Switzerland. Having worked as a freelance developer and as a full stack developer for a multinational company, he has deep expertise in cross-platform web development, focusing on data visualisation and user experience. Zeno is transforming the very technical tools of Hive Power into user-friendly solutions for energy management that can be used by a broad audience of utilities and prosumers.
Davide is a researcher of the Intelligent Energy Systems Team at SUPSI. He received a M.Sc. in Computer Science from the Politecnico di Milano. Before his academic activity, he worked for several years in building automation and access control industries. He has a notable experience in data science and database management and in the last two years he matured an accomplished experience in blockchain technology, especially focused on Ethereum platform and energy markets.
Lorenzo received the M.Sc. in Energy Engineering from Politecnico di Milano in 2013. He works on multiphysics simulations and electric grid optimization at SUPSI. He is a Ph.D. candidate at the EPFL in Lausanne, where he is working on decentralized control algorithms and model-based forecasts for demand-side management in the distribution grid, in Swiss Competence Center for Energy Research – Future Swiss Electrical Infrastructure SCCER FURIES.
Federico has an academic background in electric power production, holding a BSc and MSc in Energy Engineering. After a period in industrial hydro and HVAC systems design, he specialized in designing software simulation tools for smart grids. Currently, a research assistant and Ph.D. prospect, his most recent research activity is focused on the study of techno-economically sound autonomous smart grid agents and simulation of how such agents interact with power quality.
We are strong advocates of the UN SDG goals.
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Grids, made smart
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