Thermo-mechanical optimization of thermoelectric generators using deep learning artificial intelligence algorithms fed with verified finite element simulation data
C Maduabuchi - Applied Energy, 2022 - Elsevier
The rising levels of global warming in the environment owing to emissions from fossil-fuel-
based engines has increased the search for efficient clean energy systems. Thermoelectric …
based engines has increased the search for efficient clean energy systems. Thermoelectric …
Deep neural networks for quick and precise geometry optimization of segmented thermoelectric generators
To solve the problems of the current optimization methods for solar segmented
thermoelectric generator performance based on numerical methods, this paper applied …
thermoelectric generator performance based on numerical methods, this paper applied …
[HTML][HTML] A prediction model for the performance of solar photovoltaic-thermoelectric systems utilizing various semiconductors via optimal surrogate machine learning …
H Alghamdi, C Maduabuchi, A Albaker, I Alatawi… - … Science and Technology …, 2023 - Elsevier
This research focuses on finding the best surrogate performance prediction model for a solar
photovoltaic-thermoelectric (PV-TE) module with different semiconductor materials. The …
photovoltaic-thermoelectric (PV-TE) module with different semiconductor materials. The …
Effects of light, heat and relative humidity on the accelerated testing of photovoltaic degradation using Arrhenius model
Energy demands in Nigeria has increased tremendously over the past decade due to the
increasing levels of industrialization and population size. This has led to a higher reliance …
increasing levels of industrialization and population size. This has led to a higher reliance …
Accurate prophecy of photovoltaic-segmented thermoelectric generator's performance using a neural network that feeds on finite element-generated data
C Maduabuchi, M Alanazi, A Alzahmi - Sustainable Energy, Grids and …, 2022 - Elsevier
To further enhance the photovoltaic–thermoelectric system efficiency, this paper proposes a
new hybrid system design comprising a segmented thermoelectric generator and aluminum …
new hybrid system design comprising a segmented thermoelectric generator and aluminum …
Renewable energy potential estimation using climatic-weather-forecasting machine learning algorithms
The major challenge facing renewable energy systems in Nigeria is the lack of appropriate,
affordable, and available meteorological stations that can accurately provide present and …
affordable, and available meteorological stations that can accurately provide present and …
Machine learning and numerical simulations for electrical, thermodynamic, and mechanical assessment of modified solar thermoelectric generators
The frustum leg thermoelectric generator (FLTEG) was recently proposed as a high-
performing power generator. However, there is no basis for proposing this device since its …
performing power generator. However, there is no basis for proposing this device since its …
Extreme gradient boosting: A machine learning technique for daily global solar radiation forecasting on tilted surfaces
Enhancing solar irradiance and accurate forecasting is required for improved performance
of photovoltaic and solar thermal systems. In this study, Extreme Gradient Boosting …
of photovoltaic and solar thermal systems. In this study, Extreme Gradient Boosting …
Machine learning approach for solar irradiance estimation on tilted surfaces in comparison with sky models prediction
In this study, two supervised machine learning models (Extreme Gradient Boosting and K-
nearest Neighbour) and four isotropic sky models (Liu and Jordan, Badescu, Koronakis, and …
nearest Neighbour) and four isotropic sky models (Liu and Jordan, Badescu, Koronakis, and …
Performance prediction and optimization of thermoelectric generators using artificial neural networks and finite element simulations
CC Maduabuchi - Available at SSRN 4042574, 2022 - papers.ssrn.com
The traditional means of optimizing the performance of thermoelectric generators (TEGs) are
using experimental and finite element simulation software like ANSYS or COMSOL …
using experimental and finite element simulation software like ANSYS or COMSOL …