Predicting the performance of thermal, electrical and overall efficiencies of a nanofluid-based photovoltaic/thermal system using Elman recurrent neural network methodology-Reference-Cited by-同舟云学术

Predicting the performance of thermal, electrical and overall efficiencies of a nanofluid-based photovoltaic/thermal system using Elman recurrent neural network methodology

Published:2023-05 Issue: Volume:150 Page:394-399
ISSN:0955-7997
Container-title:Engineering Analysis with Boundary Elements
language:en
Short-container-title:Engineering Analysis with Boundary Elements

Author:

Hai Tao,Zhou Jincheng

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,General Engineering,Analysis

Reference30 articles.

1. Solar photovoltaic energy optimization methods, challenges and issues: a comprehensive review;Al-Shahri;J Cleaner Prod,2021

2. Numerical simulation and experimental validation of a novel Sandwich Glazed Photovoltaic Thermal (SGPV/T) water heating system;Veeramanikandan;Energy Sources, Part A: Recov, Utilizat Environ Effects,2022

3. Maximum power point tracking technique based on variable step size with sliding mode controller in photovoltaic system;Hai;Soft Comput,2022

4. Determination of the performance improvement of a PV/T hybrid system with a novel inner plate-finned collective cooling with Al2O3 nanofluid;Aydin;Energy Sources Part A,2022

5. Thermo-enviro-economic analysis of solar photovoltaic/thermal system incorporated with u-shaped grid copper pipe, thermal electric generators and nanofluids: an experimental investigation;Praveenkumar;J Energy Storage,2023

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Random forest with feature selection and K-fold cross validation for predicting the electrical and thermal efficiencies of air based photovoltaic-thermal systems;Energy Reports;2024-12

2. A new hybrid model for monthly runoff prediction using ELMAN neural network based on decomposition-integration structure with local error correction method;Expert Systems with Applications;2024-03

3. Development of various machine learning and deep learning models to predict glycerol biorefining processes;International Journal of Hydrogen Energy;2024-01

4. Modeling Finned Thermal Collector Construction Nanofluid-based Al2O3 to Enhance Photovoltaic Performance;Civil Engineering Journal;2023-12-01

5. An in-depth thermo-electrical evaluation of a rooftop PV technology for a residential building using advanced infrared thermography;Engineering Analysis with Boundary Elements;2023-07