Meteorological-based oil temperature prediction in wind turbine gearbox using deep learning Poster presented at the Deep Learning Indaba 2022 by Paul Adedeji
An XGBoost model for predicting wind turbine power output in Sub-Saharan Africa #Wind-Turbine_Powe
Abstract A third of the food produced globally and in South Africa is lost or wasted annua
International audience This paper deals with the prediction of wind turbines power ou
The energy yield of photovoltaic installations depends critically on panel orientation, yet most in
International audience This study presents a novel fixed-time convergent, singularity
Graduate Project Machine Learning-Based Forecasting of Rainfall, Temperature, and Wind in Qoryoley