Thermoelectric energy harvesting for internet of things devices using machine learning: A review
Initiatives to minimise battery use, address sustainability, and reduce regular maintenance
have driven the challenge to use alternative power sources to supply energy to devices …
have driven the challenge to use alternative power sources to supply energy to devices …
Latest Advancements in Solar Photovoltaic‐Thermoelectric Conversion Technologies: Thermal Energy Storage Using Phase Change Materials, Machine Learning …
H Alghamdi, C Maduabuchi, K Okoli… - … Journal of Energy …, 2024 - Wiley Online Library
In recent times, the significance of renewable energy generation has increased and
photovoltaic‐thermoelectric (PV‐TE) technologies have emerged as a promising solution …
photovoltaic‐thermoelectric (PV‐TE) technologies have emerged as a promising solution …
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 …
Machine learning model for transient exergy performance of a phase change material integrated-concentrated solar thermoelectric generator
H Alghamdi, C Maduabuchi, DS Mbachu… - Applied Thermal …, 2023 - Elsevier
Despite the merits of incorporating phase change materials in concentrating solar
thermoelectric generating systems, the following research gaps still need to be filled to make …
thermoelectric generating systems, the following research gaps still need to be filled to make …
[HTML][HTML] Segmented thermoelectric generator modelling and optimization using artificial neural networks by iterative training
Renewable energy technologies are central to emissions reduction and essential to achieve
net-zero emission. Segmented thermoelectric generators (STEG) facilitate more efficient …
net-zero emission. Segmented thermoelectric generators (STEG) facilitate more efficient …
Predicting the optimal performance of a concentrated solar segmented variable leg thermoelectric generator using neural networks
C Maduabuchi, H Fagehi, I Alatawi, M Alkhedher - Energies, 2022 - mdpi.com
The production of high-performing thermoelectrics is limited by the high computational
energy and time required by the current finite element method solvers that are used to …
energy and time required by the current finite element method solvers that are used to …
Multiobjective Optimization and Machine Learning Algorithms for Forecasting the 3E Performance of a Concentrated Photovoltaic‐Thermoelectric System
H Alghamdi, C Maduabuchi, A Yusuf… - … Journal of Energy …, 2023 - Wiley Online Library
Previous theoretical research efforts which were validated by experimental findings
demonstrated the thermo‐economic benefits of the hybrid concentrated photovoltaic …
demonstrated the thermo‐economic benefits of the hybrid concentrated photovoltaic …
Sensors energy optimization for renewable energy-based WBANS on sporadic elder movements
The world is advancing to a new era where a new concept is emerging that deals with
“wirelessness”. As we know, renewable energy is the future, and this research studied the …
“wirelessness”. As we know, renewable energy is the future, and this research studied the …
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 …