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cs.LG2026
Learning-based Probabilistic Load Forecasting with Post-hoc and In-model Uncertainty
Sarah Al-Shareeda, Gulcihan Ozdemir, Heung Seok Jeon
Smart-building load forecasters are often trained offline on dense, multivariate, high-frequency data, but deployment may provide only hourly, feature-limited inputs. Missing featu…
cs.LG2025
A Lightweight DL Model for Smart Grid Power Forecasting with Feature and Resolution Mismatch
Sarah Al-Shareeda, Gulcihan Ozdemir, Heung Seok Jeon +1
How can short-term energy consumption be accurately forecasted when sensor data is noisy, incomplete, and lacks contextual richness? This question guided our participation in the \…