Author

C. Ibebuchi

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Open access Oct 2026

Runtime-constrained day-ahead and real-time electricity price forecasting in PJM’s BGE zone: stacked ensembles and residual diffusion

A runtime-constrained framework for day-ahead (DA) and real-time (RT) locational marginal price forecasting in PJM’s Baltimore Gas and Electric zone is developed and expected demand is identified as the dominant predictive input, with stronger responses during peak and cold conditions.

C. Ibebuchi · Engineering Research Express · 0 citations

Conference Open access Oct 2026

StockForecastGenie Pro: A Volatility-Aware Machine Learning Decision-Support System for Short-Horizon Equity Index Forecasting

Forecasting short-term movements in financial markets remains challenging because market prices are influenced by rapidly changing economic conditions, investor sentiment, and volatility. While machine-learning methods have demonstrated promise for financial forecasting, many forecasting tools remain difficult for non-...

C. Ibebuchi · Proceedings of the 7th Natio... · 0 citations

Open access Aug 2026

Distributional reliability explanation for diffusion-based electrocardiogram abnormality risk prediction

Distributional reliability explanation attribution (DREA) is applied to examine how electrocardiogram-derived predictors influence the full risk distribution generated by a diffusion-based abnormality-risk model, in comparison with conventional point-output explanations.

C. Ibebuchi, Chinedu Ibebuchi · Machine Learning: Health · 0 citations