arxivcs.LGcs.AI2026-07-14
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 features must then be reconstructed, and their errors can propagate through the model. If this input unce…