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Armand du Plessis
Armand du Plessis
Dr of Engineering, Stellenbosch University
Verified email at sun.ac.za
Title
Cited by
Cited by
Year
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
602021
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
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
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
12023
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
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
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
2021
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