AI for global climate cooperation: modeling global climate negotiations, agreements, and long-term cooperation in RICE-N
Comprehensive global cooperation is essential to limit global temperature increases while
continuing economic development, eg, reducing severe inequality or achieving long-term …
continuing economic development, eg, reducing severe inequality or achieving long-term …
Deep reinforcement learning for coordinated voltage regulation in active distribution networks
In active distribution networks (ADNs), voltage violation is aggravated by the massive
expansion of renewable distributed energy, such as distributed photovoltaics. Traditional …
expansion of renewable distributed energy, such as distributed photovoltaics. Traditional …
Learning Multi-Agent Communication with Contrastive Learning
Communication is a powerful tool for coordination in multi-agent RL. But inducing an
effective, common language is a difficult challenge, particularly in the decentralized setting …
effective, common language is a difficult challenge, particularly in the decentralized setting …
Power system stability assessment frameworks using machine learning techniques
T Meridji - 2024 - escholarship.mcgill.ca
L'adoption massive des énergies renouvelables entraîne une imprévisibilité dans les
réseaux électriques, rendant difficile la prédiction des conditions d'opération critiques. Celà …
réseaux électriques, rendant difficile la prédiction des conditions d'opération critiques. Celà …