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 …

Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches

R Abbassi, A Abbassi, M Jemli, S Chebbi - Renewable and Sustainable …, 2018 - Elsevier
Solar energy is increasingly attracting the attention of industry and academia. This
heightened focus is mainly motivated by the challenge to contribute to fossil fuels' alternative …

Revolutionizing solar energy: The impact of artificial intelligence on photovoltaic systems

A Mohammad, F Mahjabeen - International Journal of …, 2023 - jurnal.itscience.org
Artificial intelligence (AI) integration in the solar energy industry has created new
opportunities for reshaping the renewable energy sector. The numerous ways that AI is …

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 …

A new stochastic slime mould optimization algorithm for the estimation of solar photovoltaic cell parameters

C Kumar, TD Raj, M Premkumar, TD Raj - Optik, 2020 - Elsevier
With the help of accurate solar photovoltaic (PV) cell modeling, the PV system's performance
can be enhanced. However, PV cell modeling is erroneously caused by inaccurate solar cell …

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 …

Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation

X Chen, B Xu, C Mei, Y Ding, K Li - Applied energy, 2018 - Elsevier
Parameters estimation of photovoltaic (PV) model based on experimental data plays an
important role in the simulation, evaluation, control, and optimization of PV systems. In the …

Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models

K Yu, JJ Liang, BY Qu, Z Cheng, H Wang - Applied energy, 2018 - Elsevier
Obtaining appropriate parameters of photovoltaic models based on measured current-
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …

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

HM Ridha, AA Heidari, M Wang, H Chen - Energy Conversion and …, 2020 - Elsevier
In order to realize the performance of the PV model before being installed, it is often
indispensable to develop reliable and accurate parameter identification methods for dealing …

Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters

X Chen, K Yu - Solar Energy, 2019 - Elsevier
Accurate estimation of model parameters plays a very important role in modeling solar
photovoltaic (PV) systems. In the past decade, meta-heuristic algorithms (MHAs) have been …