Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

T Ahmad, D Zhang, C Huang, H Zhang, N Dai… - Journal of Cleaner …, 2021 - Elsevier
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …

Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

B Yang, J Wang, X Zhang, T Yu, W Yao, H Shu… - Energy Conversion and …, 2020 - Elsevier
Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …

Simulated annealing-based dynamic step shuffled frog lea** algorithm: Optimal performance design and feature selection

Y Liu, AA Heidari, Z Cai, G Liang, H Chen, Z Pan… - Neurocomputing, 2022 - Elsevier
The shuffled frog lea** algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …

Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm

D Oliva, M Abd El Aziz, AE Hassanien - Applied energy, 2017 - Elsevier
The using of solar energy has been increased since it is a clean source of energy. In this
way, the design of photovoltaic cells has attracted the attention of researchers over the …

A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models

W Long, S Cai, J Jiao, M Xu, T Wu - Energy Conversion and Management, 2020 - Elsevier
Quickly, accurately and reliably extract the parameters of solar photovoltaic (PV) model is
very critical to simulate, evaluate and control the PV systems. During the past few years …

[HTML][HTML] Identification of photovoltaic module parameters by implementing a novel teaching learning based optimization with unique exemplar generation scheme …

A Sharma, WH Lim, ESM El-Kenawy, SS Tiang… - Energy Reports, 2023 - Elsevier
The performance evaluation of a Photovoltaic (PV) system heavily relies on accurately
estimating the parameters based on its current—voltage relationships. However, due to the …

Parameters identification of photovoltaic models using an improved JAYA optimization algorithm

K Yu, JJ Liang, BY Qu, X Chen, H Wang - Energy Conversion and …, 2017 - Elsevier
Parameters identification of photovoltaic (PV) models based on measured current-voltage
characteristic curves is significant for the simulation, evaluation, and control of PV systems …

Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts

H Chen, S Jiao, M Wang, AA Heidari, X Zhao - Journal of Cleaner …, 2020 - Elsevier
Accurate estimation of critical parameters of the photovoltaic models is a highly demanding
task in modeling and simulating the photovoltaic systems. In this research, a diversification …

A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module

K Yu, B Qu, C Yue, S Ge, X Chen, J Liang - Applied energy, 2019 - Elsevier
In order to carry out the evaluation, control and maximum power point tracking on
photovoltaic (PV) systems, accurate and reliable model parameter identification of PV cell …

Photovoltaic model parameters identification using Northern Goshawk Optimization algorithm

MA El-Dabah, RA El-Sehiemy, HM Hasanien, B Saad - Energy, 2023 - Elsevier
The massive integration of photovoltaic (PV) systems into electric power grids creates a slew
of new issues in today's power systems. Accurate modeling of photovoltaic modules is …