K-line crossing 1model-agnostic reconciliation 1OHLC 1probabilistic forecasting 1quantile crossing 1
From the 1 of 3 linked papers with an AI index.
3 papers
stat.ML2026
Crossing-Free Probabilistic K-Line Forecasts Without Retraining
Runyao Yu, Yuchen Tao, Yujie Chen +2
The paper proposes K-line–Quantile Sequential Projection (KQSP), a parameter‑free, training‑free method that adjusts probabilistic open‑high‑low‑close forecasts to eliminate quanti…
q-fin.CP2026
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
Runyao Yu, Derek W. Bunn, Julia Lin +8
Electricity price forecasting (EPF) plays a critical role in power system operation and market decision making. While existing review studies have provided valuable insights into f…
cs.LG2025
Neural Tucker Convolutional Network for Water Quality Analysis
Hongnan Si, Tong Li, Yujie Chen +1
Water quality monitoring is a core component of ecological environmental protection. However, due to sensor failure or other inevitable factors, data missing often exists in long-t…