arxiv
PublishedJuly 15, 2026 at 4:00 AM
—neutral
Learning-based Probabilistic Load Forecasting with Post-hoc and In-model Uncertainty
Publisher summary· verbatim
arXiv:2607.12730v1 Announce Type: cross Abstract: 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
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Originally published on arxiv ↗