Data-driven green energy extraction: Machine learning-based MPPT control with efficient fault detection method for the hybrid PV-TEG system
The hybrid photovoltaic-thermoelectric generation system (PVTEG) gives two-fold benefits; firstly, it efficiently utilizes the available solar energy as it converts both solar irradiance and solar thermal energy into electricity, secondly, it enhances PV efficiency by reducing the PV module surface...
Main Authors: | Kamran Khan, Saad Rashid, Majad Mansoor, Ammar Khan, Hasan Raza, Muhammad Hamza Zafar, Naureen Akhtar |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723001890 |
Similar Items
-
Enhancing efficient solar energy harvesting: A process-in-loop investigation of MPPT control with a novel stochastic algorithm
by: Muhammad Kamran Khan, et al.
Published: (2024-01-01) -
Enhanced MPPT-Based Fractional-Order PID for PV Systems Using Aquila Optimizer
by: Mohammed Tadj, et al.
Published: (2023-10-01) -
Keeping and breeding snakes /
by: Schmidt, Dieter, author, et al.
Published: (1995) -
Highly efficient maximum power point tracking control technique for PV system under dynamic operating conditions
by: Syed Kumayl Raza Moosavi, et al.
Published: (2022-11-01) -
Hybrid General Regression NN Model for Efficient Operation of Centralized TEG System under Non-Uniform Thermal Gradients
by: Noman Mujeeb Khan, et al.
Published: (2023-04-01)