3 citations · 3 across the 3 of their papers we have counts for
3 papers
Understanding electricity consumption behaviour through Inverse Reinforcement Learning
Enrico Cofler, Carlos Rodriguez-Pardo, Matteo Giuliani +2
Understanding how households consume electricity in response to socioeconomic and climatic drivers is important for decision-makers designing energy policies in a changing climate…
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges
Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs +22
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences. Here, AI improved weather forecasting, model emulation, parameter…
Learning-based hierarchical control of water reservoir systems
Pauline Kergus, Simone Formentin, Matteo Giuliani +1
The optimal control of a water reservoir systems represents a challenging problem, due to uncertain hydrologic inputs and the need to adapt to changing environment and varying cont…