Titlebook: Machine Learning, Optimization, and Data Science; 7th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202

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Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction,edicts the system behavior in a simplified manner, while the data-driven model accounts for the discrepancy between reality and the simplified model. This hybrid approach is validated experimentally on a double pendulum.

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,Deep Reinforcement Learning for?Optimal Energy Management of?Multi-energy Smart Grids,ons on the production and storage systems that allow to jointly optimize the electrical, heating and cooling usages within the smart grid. This allows the approach to be applied for the real-time optimal energy management of larger scale multi-energy Smart Grids like eco-distrits and smart cities wh

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