2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.SY2026
Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility
Colin Jüni, Mina Montazeri, Yi Guo +3
Buildings account for approximately 40% of global energy consumption, and with the growing share of intermittent renewable energy sources, enabling demand-side flexibility, particu…
eess.SY2026
Towards socio-techno-economic power systems with demand-side flexibility
Hanmin Cai, Federica Bellizio, Yi Guo +11
Harnessing the demand-side flexibility in building and mobility sectors can help to better integrate renewable energy into power systems and reduce global CO2 emissions. Enabling t…
eess.SY2022★ 2 cited
Value of Optimal Trip and Charging Scheduling of Commercial Electric Vehicle Fleets with Vehicle-to-Grid in Future Low Inertia Systems
Alicia Blatiak, Federica Bellizio, Luis Badesa +1
The electrification of transport is seen as an important step in the global decarbonisation agenda. With such a large expected load on the power system from electric vehicles (EVs)…