deep learning 1probabilistic forecasting 1smart building energy 1time series 1uncertainty quantification 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Learning-based Probabilistic Load Forecasting with Post-hoc and In-model Uncertainty
Sarah Al-Shareeda, Gulcihan Ozdemir, Heung Seok Jeon
The paper proposes a one‑day‑ahead probabilistic load forecasting framework for smart buildings that handles missing input features by either post‑hoc residual quantiles or integra…
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 \…