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short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning
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architectures, frameworks, and prototypes for high-fidelity visual simulations and AI-enabled environments and applications. Apply computational models, data-driven algorithms, and physics-based simulation
Searches related to distributed algorithms
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