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Ndamulelo Mararakanye
Ndamulelo Mararakanye
Verified email at sun.ac.za
Title
Cited by
Cited by
Year
Renewable energy integration impacts within the context of generator type, penetration level and grid characteristics
N Mararakanye, B Bekker
Renewable and Sustainable Energy Reviews 108, 441-451, 2019
1242019
Incorporating spatial and temporal correlations to improve aggregation of decentralized day-ahead wind power forecasts
N Mararakanye, A Dalton, B Bekker
IEEE Access 10, 116182-116195, 2022
92022
Operating reserve dimensioning methodologies for renewable energy aligned power systems
L Bongers, N Mararakanye, B Bekker
2021 56th International Universities Power Engineering Conference (UPEC), 1-6, 2021
52021
International procurement policies influencing renewable energy siting-implications for South Africa
T Mosaka, N Mararakanye, B Bekker
Journal of Energy in Southern Africa 32 (4), 58-68, 2021
42021
Characterizing wind power forecast error using extreme value theory and copulas
N Mararakanye, A Dalton, B Bekker
IEEE Access 10, 58547-58557, 2022
32022
Assessment of methods to measure power system flexibility: a review
D Mouton, N Mararakanye, B Bekker
2021 56th International Universities Power Engineering Conference (UPEC), 1-6, 2021
32021
Investigating renewable energy curtailment as a flexibility resource in the future South African Grid
N Mararakanye, B Bekker, N Mararakanye, B Bekker
Johannesburg, CIGRE Southern Africa, 2019
22019
IDENTIFYING THE ROOFTOP PV POTENTIAL OF RESIDENTIAL, INDUSTRIAL AND COMMERCIAL AREAS IN SOUTH AFRICA
N Mararakanye, K Kritzinger, A Steyn, A Rix
2*
DC-link based control system for a stand-alone variable speed wind energy conversion system with storage
N Mararakanye, S Chowdhury
25th Southern African Universities Power Engineering Conference, 760-765, 2017
12017
Estimating Wind Power Uncertainty using Quantile Smoothing Splines Regression
N Mararakanye, B Bekker
2022 57th International Universities Power Engineering Conference (UPEC), 1-6, 2022
2022
Characterizing variable renewable energy generation uncertainty towards improved forecasting and operational decision making
N Mararakanye
Stellenbosch: Stellenbosch University, 2022
2022
VOLTAGE DIP MITIGATION WITH DISTRIBUTED GENERATION IN MICROGRIDS
N Mararakanye, J Fadiran, S Chowdhury
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Articles 1–12