Author

Yupeng Wu

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Open access Jul 2026

Digital Shadowing-Enabled Deep Learning for Carbon-Aware Day-Ahead Scheduling of Integrated Energy Systems Under Forecast Uncertainty

A digital-shadowing-enabled deep learning framework for carbon-aware day-ahead scheduling of integrated energy systems and demonstrates that combining digital shadowing, constraint-embedded neural decoding, and carbon-aware optimization provides a practical and reliable pathway for low-carbon smart-grid scheduling under uncertainty.

Yinuo Yang, Minglei You, Marco Rivera et al. · Technologies · 0 citations