Browsing School of Mathematical & Computational Sciences by Author "Maposa, Daniel"

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Probabilistic Hourly Loading Forecasting Using AdditiveProbabilistic Hourly Load Forecasting Using Additive Quantile Regression Models

Sigauke, Caston; Maposa, Daniel; Nemukula, Murendeni Maurel (MDPI, 2018)

Short-term hourly load forecasting in South Africa using additive quantile regression (AQR) models is discussed in this study. The modelling approach allows for easy interpretability and accounting for residual autocorrelation ...