3 papers
stat.AP2025
Forecasting solar power output in Ibadan: A machine learning approach leveraging weather data and system specifications
Obarotu Peter Urhuerhi, Christopher Udomboso, Caston Sigauke
This study predicts hourly solar irradiance components, Global Horizontal Irradiance (GHI), Direct Normal Irradiance (DNI), and Diffuse Horizontal Irradiance (DHI) using meteorolog…
cs.LG2025
Fusion Sampling Validation in Data Partitioning for Machine Learning
Christopher Godwin Udomboso, Caston Sigauke, Ini Adinya
Effective data partitioning is known to be crucial in machine learning. Traditional cross-validation methods like K-Fold Cross-Validation (KFCV) enhance model robustness but often…
stat.AP2025
A Comparative Modelling of Essential Characteristics of Volatility: Simulation and Empirical Study
Richard T. A. Samuel, Charles Chimedza, Caston Sigauke
This study utilised the dynamics of five time-varying models to estimate six essential features of financial return volatility that are relevant for robust risk management. These f…