| Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem ME Lebotsa, C Sigauke, A Bere, R Fildes, JE Boylan Applied Energy 222, 104-118, 2018 | 101 | 2018 |
| Prediction of daily peak electricity demand in South Africa using volatility forecasting models C Sigauke, D Chikobvu Energy Economics 33 (5), 882-888, 2011 | 100 | 2011 |
| Forecasting Hourly Global Horizontal Solar Irradiance in South Africa using Machine Learning Models T Mutavhatsindi, C Sigauke, R Mbuvha IEEE Access 8, 198872-198885, 2020 | 69 | 2020 |
| Regression-SARIMA modelling of daily peak electricity demand in South Africa D Chikobvu, C Sigauke Journal of Energy in Southern Africa 23 (3), 23-30, 2012 | 60 | 2012 |
| Modelling influence of temperature on daily peak electricity demand in South Africa D Chikobvu, C Sigauke Journal of Energy in Southern Africa 24 (4), 63-70, 2013 | 53 | 2013 |
| Daily peak electricity load forecasting in South Africa using a multivariate non-parametric regression approach C Sigauke, D Chikobvu ORiON 26 (2), 2010 | 45 | 2010 |
| Day Ahead Hourly Global Horizontal Irradiance Forecasting - Application to South African Data P Mpfumali, C Sigauke, A Bere, S Mulaudzi Energies 12 (18), 1-28, 2019 | 36 | 2019 |
| Forecasting medium-term electricity demand in a South African electric power supply system C Sigauke Journal of Energy in Southern Africa 28 (4), 54-67, 2017 | 33 | 2017 |
| Modelling non-stationary time series using a peaks over threshold distribution with time varying covariates and threshold: An application to peak electricity demand C Sigauke, A Bere Energy 119, 152-166, 2017 | 31 | 2017 |
| Extreme daily increases in peak electricity demand: Tail-quantile estimation C Sigauke, A Verster, D Chikobvu Energy Policy 53, 90-96, 2013 | 26 | 2013 |
| Probabilistic Hourly Load Forecasting Using Additive Quantile Regression Models C Sigauke, MM Nemukula, D Maposa Energies 11 (9), 1-21, 2018 | 25 | 2018 |
| Peak electricity demand forecasting using time series regression models: An application to South African data C Sigauke, D Chikobvu Journal of Statistics and Management Systems 19 (4), 567-586, 2016 | 24 | 2016 |
| Short-Term Wind Speed Forecasting Using Statistical and Machine Learning Methods LO Daniel, C Sigauke, C Chibaya, R Mbuvha Algorithms 13 (6), 1-30, 2020 | 23 | 2020 |
| Modelling Electricity Demand in South Africa C Sigauke University of the Free State, South Africa, 2014 | 23 | 2014 |
| Modelling extreme peak electricity demand during a heatwave period: a case study C Sigauke, MM Nemukula Energy Systems, 1-23, 2018 | 22 | 2018 |
| Estimating high quantiles of extreme flood heights in the lower Limpopo River basin, Mozambique, using model based Bayesian approach D Maposa, JJ Cochran, M Lesaoana, C Sigauke Natural Hazards and Earth System Sciences 2 (8), 5401-5425, 2014 | 21 | 2014 |
| Short-term peak electricity demand in South Africa C Sigauke, D Chikobvu African Journal of Business Management 6 (32), 9243-9249, 2012 | 19 | 2012 |
| Short-term and medium-term drought forecasting using generalised additive models F Mathivha, C Sigauke, H Chikoore, J Odiyo Sustainability 12 (10), 1-20, 2020 | 17 | 2020 |
| Short-Term Solar Power Forecasting Using Genetic Algorithms: An Application Using South African Data M Ratshilengo, C Sigauke, A Bere Applied Sciences 11 (9), 1-19, 2021 | 16 | 2021 |
| Tail Quantile Estimation of Heteroskedastic Intraday Increases in Peak Electricity Demand C Sigauke, A Verster, D Chikobvu Open Journal of Statistics 2, 435-442, 2012 | 16 | 2012 |
Professor Delson ChikobvuProfessor,Department of Mathematical Statistics and Actuarial Science, University of Free在 ufs.ac.za 的电子邮件经过验证
