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Armand du Plessis
Armand du Plessis
Dr of Engineering, Stellenbosch University
Verifierad e-postadress på sun.ac.za
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Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour
AA Du Plessis, JM Strauss, AJ Rix
Applied Energy 285, 116395, 2021
612021
Application of dust mitigation strategies to single-axis-tracking photovoltaic modules in the semi-arid areas of South Africa
AA du Plessis, JM Strauss, AJ Rix
IET Renewable Power Generation 14 (15), 2781-2790, 2020
72020
Electric vehicle drivetrain efficiency and the multi-speed transmission question
S Lacock, AA du Plessis, MJ Booysen
World Electric Vehicle Journal 14 (12), 342, 2023
32023
The influence of dust soiling on the performance of photovoltaic modules in the semi-arid areas of south africa
A Du Plessis
Stellenbosch: Stellenbosch University, 2017
32017
Using Driving-Cycle Data to Retrofit and Electrify Sub-Saharan Africa’s Existing Minibus Taxis for a Circular Economy
S Lacock, AA du Plessis, MJ Booysen
World Electric Vehicle Journal 14 (10), 296, 2023
22023
Short-term power output forecasting for large multi-megawatt photovoltaic systems with an aggregated low-level forecasting methodology
A Du Plessis
Stellenbosch: Stellenbosch University, 2021
12021
A Method to Simulate Electric Vehicle Powertrain Efficiency: Integrating Driving Cycle Data and Electric Motor Efficiency Maps
S Lacock, MJ Booysen, A du Plessis, M McCulloch, C Hull
Available at SSRN 4553818, 0
1
Providing Ancillary Services from Renewable Energy in South Africa
S van der Merwe, AA du Plessis, AJ Rix
2024 International Conference on Artificial Intelligence, Computer, Data …, 2024
2024
Simulating Electric Vehicle Powertrain Efficiency with Driving Cycle Data and Electric Motor Efficiency Maps
S Lacock, AA Du Plessis, C Hull, M McCulloch, MJ Booysen
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC …, 2024
2024
Utility-Scale Solar Power Forecasting: Single-Step vs. Multi-Step Feed Forward Neural Networks
EN Lazarus, AA Du Plessis
2023 IEEE International Conference on Environment and Electrical Engineering …, 2023
2023
Solar power forecasting: Investigating the robustness of feedforward neural networks to adapt to utility-scale PV-system fault conditions
AA du Plessis, JM Strauss, AJ Rix
2022 IEEE International Conference on Environment and Electrical Engineering …, 2022
2022
WIND POWER FORECASTING: A REVIEW
SW van der Merwe, AA du Plessis, AJ Rix
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Artiklar 1–12