5
H index
2
i10 index
84
Citations
| 5 H index 2 i10 index 84 Citations RESEARCH PRODUCTION: 8 Articles RESEARCH ACTIVITY:
MORE DETAILS IN: ABOUT THIS REPORT:
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Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Caston Sigauke. | Is cited by: | Cites to: |
| Year | Title of citing document |
|---|---|
| 2024 | Smoothing Quantile Regression Averaging: A new approach to probabilistic forecasting of electricity prices. (2024). Uniejewski, Bartosz. In: Papers. RePEc:arx:papers:2302.00411. Full description at Econpapers || Download paper |
| 2025 | Learning Probability Distributions of Day-Ahead Electricity Prices. (2023). Baruník, Jozef ; Hanus, Lubos ; Barunik, Jozef. In: Papers. RePEc:arx:papers:2310.02867. Full description at Econpapers || Download paper |
| 2025 | Nonlinear Temperature Sensitivity of Residential Electricity Demand: Evidence from a Distributional Regression Approach. (2025). Seo, Won-Ki ; Nam, Kyungsik. In: Papers. RePEc:arx:papers:2503.07213. Full description at Econpapers || Download paper |
| 2025 | A novel short-term multi-energy load forecasting method for integrated energy system based on two-layer joint modal decomposition and dynamic optimal ensemble learning. (2025). Lin, Zhengyang. In: Applied Energy. RePEc:eee:appene:v:378:y:2025:i:pa:s0306261924021810. Full description at Econpapers || Download paper |
| 2024 | Modelling non-stationarity in asymptotically independent extremes. (2024). Murphy-Barltrop, C. J. R., ; Wadsworth, J L. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:199:y:2024:i:c:s0167947324001099. Full description at Econpapers || Download paper |
| 2024 | Effect of electricity policy uncertainty and carbon emission prices on electricity demand in China based on mixed-frequency data models. (2024). Wang, Jie ; Liu, Qibo ; Lu, Wanbo. In: Utilities Policy. RePEc:eee:juipol:v:91:y:2024:i:c:s0957178724001188. Full description at Econpapers || Download paper |
| 2025 | Probabilistic electricity price forecasting by integrating interpretable model. (2025). Jiang, HE ; Wang, Jianzhou ; Dong, Yao. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:210:y:2025:i:c:s0040162524006449. Full description at Econpapers || Download paper |
| 2024 | Toward Prediction of Energy Consumption Peaks and Timestamping in Commercial Supermarkets Using Deep Learning. (2024). Gomez-Rosero, Santiago ; Zhao, Mengchen ; Nouraei, Hooman ; Zych, Craig ; Sadhu, Ayan. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:7:p:1672-:d:1368282. Full description at Econpapers || Download paper |
| 2024 | Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory. (2024). Maposa, Daniel ; Makubyane, Kgothatso. In: Forecasting. RePEc:gam:jforec:v:6:y:2024:i:4:p:44-907:d:1492137. Full description at Econpapers || Download paper |
| 2024 | Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression. (2024). Mdlongwa, Precious ; Masache, Amon ; Sigauke, Caston ; Maposa, Daniel. In: PLOS ONE. RePEc:plo:pone00:0312814. Full description at Econpapers || Download paper |
| 2025 | Combined Quantile Forecasting for High‐Dimensional Non‐Gaussian Data. (2025). Oh, Heeseok ; Park, Seeun ; Lim, Yaeji. In: Environmetrics. RePEc:wly:envmet:v:36:y:2025:i:6:n:e70035. Full description at Econpapers || Download paper |
| Year | Title | Type | Cited |
|---|---|---|---|
| 2018 | Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem In: Applied Energy. [Full Text][Citation analysis] | article | 29 |
| 2011 | Prediction of daily peak electricity demand in South Africa using volatility forecasting models In: Energy Economics. [Full Text][Citation analysis] | article | 25 |
| 2013 | Extreme daily increases in peak electricity demand: Tail-quantile estimation In: Energy Policy. [Full Text][Citation analysis] | article | 8 |
| 2017 | Modelling non-stationary time series using a peaks over threshold distribution with time varying covariates and threshold: An application to peak electricity demand In: Energy. [Full Text][Citation analysis] | article | 5 |
| 2018 | Probabilistic Hourly Load Forecasting Using Additive Quantile Regression Models In: Energies. [Full Text][Citation analysis] | article | 6 |
| 2019 | Day Ahead Hourly Global Horizontal Irradiance Forecasting—Application to South African Data In: Energies. [Full Text][Citation analysis] | article | 9 |
| 2020 | Short-Term and Medium-Term Drought Forecasting Using Generalized Additive Models In: Sustainability. [Full Text][Citation analysis] | article | 1 |
| 2021 | Modelling temperature extremes in the Limpopo province: bivariate time-varying threshold excess approach In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards. [Full Text][Citation analysis] | article | 1 |
CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated December, 22 2025. Contact: CitEc Team