no code implementations • 27 Mar 2024 • Nicolas Mauricio Cuadrado, Roberto Alejandro Gutierrez, Martin Takáč
The rise in renewable energy is creating new dynamics in the energy grid that promise to create a cleaner and more participative energy grid, where technology plays a crucial part in making the required flexibility to achieve the vision of the next-generation grid.
no code implementations • 27 Mar 2024 • Yunxiang Li, Nicolas Mauricio Cuadrado, Samuel Horváth, Martin Takáč
The smart grid domain requires bolstering the capabilities of existing energy management systems; Federated Learning (FL) aligns with this goal as it demonstrates a remarkable ability to train models on heterogeneous datasets while maintaining data privacy, making it suitable for smart grid applications, which often involve disparate data distributions and interdependencies among features that hinder the suitability of linear models.