Adaptive slime mould algorithm for optimal design of photovoltaic models-Reference-Cited by-同舟云学术

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Adaptive slime mould algorithm for optimal design of photovoltaic models

Published:2022-03-27 Issue:7 Volume:10 Page:2035-2064
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Science & Engineering

Author:

Lin Haiping¹,Ahmadianfar Iman²,Amiri Golilarz Noorbakhsh³,Jamei Mehdi⁴,Heidari Ali Asghar⁵,Kuang Fangjun⁶,Zhang Siyang⁶,Chen Huiling⁷^ORCID

Affiliation:

1. College of Information Engineering Hangzhou Vocational & Technical College Hangzhou China

2. Department of Civil Engineering Behbahan Khatam Alanbia University of Technology Behbahan Iran

3. School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

4. Faculty of Engineering Shohadaye Hoveizeh University of Technology Susangerd Iran

5. School of Surveying and Geospatial Engineering, College of Engineering University of Tehran Tehran Iran

6. School of Information Engineering Wenzhou Business College Wenzhou China

7. College of Computer Science and Artificial Intelligence Wenzhou University Wenzhou China

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.1115

Reference112 articles.

1. Evolution of Aromatic Structures during the Low-Temperature Electrochemical Upgrading of Bio-oil

2. Will We Ever Stop Using Fossil Fuels?

3. Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review

4. Boosted mutation-based Harris hawks optimizer for parameters identification of single-diode solar cell models

5. SinghS AgarwalS AwasthiDV SaraswatA. Electrical energy analysis and optimization of single pass unglazed PVT system using evolutionary algorithm.1st International Conference on Next Generation Computing Technologies (NGCT). 2015;IEEE.

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1. Application of hybrid chaotic particle swarm optimization and slime mould algorithm to optimally estimate the parameter of fuel cell and solar PV system;International Journal of Hydrogen Energy;2024-09

2. HKTSMA: An Improved Slime Mould Algorithm Based on Multiple Adaptive Strategies for Engineering Optimization Problems;KSCE Journal of Civil Engineering;2024-07-12

3. A novel method for reference parameters identification and electrical property estimation of PV modules under varying operating conditions;Energy Conversion and Management: X;2024-04

4. Advances in Slime Mould Algorithm: A Comprehensive Survey;Biomimetics;2024-01-04

5. A New Hybrid Multi-Population GTO-BWO Approach for Parameter Estimation of Photovoltaic Cells and Modules;Sustainability;2023-07-16

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