Maximum Power Tracking for Centralized Temperature Difference Power Generation System Based on Elman Neural Network Combined With Improved Sparrow Search
Since the thermoelectric generation (TEG) sheets will be placed in places with different temperature gradients, it leads to multiple peaks in the duty-power (D-P) characteristic curve of a centralized TEG system under non-uniform temperature distribution (NTD). For this reason, this paper proposes a...
Main Authors: | Xinying He, Yan Chen, Qian Du, Lulu Feng |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10268944/ |
Similar Items
-
Optimized Fractional Maximum Power Point Tracking Using Bald Eagle Search for Thermoelectric Generation System
by: Hegazy Rezk, et al.
Published: (2023-05-01) -
Geometry Optimization of Thermoelectric Modules: Deviation of Optimum Power Output and Conversion Efficiency
by: Mario Wolf, et al.
Published: (2020-10-01) -
Adaptive mutation sparrow search algorithm-Elman-AdaBoost model for predicting the deformation of subway tunnels
by: Xiangzhen Zhou, et al.
Published: (2024-08-01) -
An improved metaheuristic-based MPPT for centralized thermoelectric generation systems under dynamic temperature conditions
by: Chen, Yifeng, et al.
Published: (2023) -
A Prediction Method for Height of Water Flowing Fractured Zone Based on Sparrow Search Algorithm–Elman Neural Network in Northwest Mining Area
by: Xicai Gao, et al.
Published: (2023-01-01)