Caston Sigauke holds a PhD in Statistics from the University of the Free State, South Africa and a MSc in Operations Research from the National University of Science, Zimbabwe. He is a senior lecturer in the Department of Statistics at the University of Venda in South Africa. He is a member of the: International Statistical Institute (ISI), International Institute of Forecasters (IIF), Institute of Electrical and Electronics Engineers (IEEE), Operations Research Society of South Africa (ORSSA), and South African Statistical Association (SASA). He is a Chartered Statistician since 2013 (13ChM012) of the Institute of Certificated and Chartered Statisticians of South Africa (ICCSSA). His fields of expertise are forecasting and time series, statistics of extremes, statistical learning and modelling. Caston's research is on probabilistic load and renewable energy (solar and wind) forecasting, including optimization of grid integration of renewable energies.
Research Keywords & Expertise
Exploratory Data Analy...
Probabilistic Modeling
Energy and Climate Cha...
Quantile Regeression
Statistics of Extremes
Statistical Learning a...
Time Series Analysis a...
Solar Power Modeling a...
Fingerprints
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Exploratory Data Analysis
5%
Statistics of Extremes
Short Biography
Caston Sigauke holds a PhD in Statistics from the University of the Free State, South Africa and a MSc in Operations Research from the National University of Science, Zimbabwe. He is a senior lecturer in the Department of Statistics at the University of Venda in South Africa. He is a member of the: International Statistical Institute (ISI), International Institute of Forecasters (IIF), Institute of Electrical and Electronics Engineers (IEEE), Operations Research Society of South Africa (ORSSA), and South African Statistical Association (SASA). He is a Chartered Statistician since 2013 (13ChM012) of the Institute of Certificated and Chartered Statisticians of South Africa (ICCSSA). His fields of expertise are forecasting and time series, statistics of extremes, statistical learning and modelling. Caston's research is on probabilistic load and renewable energy (solar and wind) forecasting, including optimization of grid integration of renewable energies.
Honors and Awards
Competitive Support for Unrated Researcher's Grant
Project title "Probabilistic Load Forecasting''
National Research Foundation (NRF) of South Africa