Bridging the grid-thermal-computational nexus via physics-informed hierarchical multi-agent reinforcement learning for data center co-optimization
Ze-Kai Jin, Yue Zhou, Hai-Yang You et al.
· Applied Energy · 0 citations
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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Open access
Aug 2026
A Physics-Constrained Super-Resolution Framework for Wind Resource Mapping: Application to Brazil
High-resolution wind resource maps are essential for wind farm siting and renewable-energy planning, but national-scale assessment is often limited by sparse meteorological stations and the coarse resolution of reanalysis products. This study introduces a self-supervised Physics-Constrained Super-Resolution CNN (PC-SRC...
José Péricles Freire, Lihki Rubio, Jin Yang et al.
· Energies · 0 citations