5 papers
WattCouncil: Context-Aware Household Energy Scenario Generation With Governed LLMs
Mohannad Takrouri, Nicolas M. Cuadrado A., Martin Takáč
The accelerating shift toward low-carbon power systems, together with the widespread adoption of behind-the-meter technologies such as rooftop solar and electric vehicles, is placi…
Tractable Probabilistic Models for Investment Planning
Nicolas M. Cuadrado A., Mohannad Takrouri, Jiří Němeček +2
Investment planning in power utilities, such as generation and transmission expansion, requires decisions under substantial uncertainty over decade--long horizons for policies, dem…
Knowledge Distillation from Large Language Models for Household Energy Modeling
Mohannad Takrouri, Nicolás M. Cuadrado, Martin Takáč
Machine learning (ML) is increasingly vital for smart-grid research, yet restricted access to realistic, diverse data - often due to privacy concerns - slows progress and fuels dou…
FRESCO: Federated Reinforcement Energy System for Cooperative Optimization
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…
Generalized Policy Learning for Smart Grids: FL TRPO Approach
Yunxiang Li, Nicolas Mauricio Cuadrado, Samuel Horváth +1
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 abil…