Solar photovoltaic power forecasting: A review

KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models

S Li, W Gong, Q Gu - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Photovoltaic (PV) cells are widely used for their clean and sustainable advantages, forcing
researchers to accurately model their characteristics. The behavior of PV cells can be …

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

J Hu, H Chen, AA Heidari, M Wang, X Zhang… - Knowledge-Based …, 2021 - Elsevier
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …

Towards augmented kernel extreme learning models for bankruptcy prediction: algorithmic behavior and comprehensive analysis

Y Zhang, R Liu, AA Heidari, X Wang, Y Chen, M Wang… - Neurocomputing, 2021 - Elsevier
Bankruptcy prediction is a crucial application in financial fields to aid in accurate decision
making for business enterprises. Many models may stagnate to low-accuracy results due to …

Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance

J Tu, H Chen, J Liu, AA Heidari, X Zhang… - Knowledge-Based …, 2021 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a popular swarm-based algorithm with
some spotted defects in its generated patterns during the searching phases. In this study, an …

Boosted binary Harris hawks optimizer and feature selection

Y Zhang, R Liu, X Wang, H Chen, C Li - Engineering with Computers, 2021 - Springer
Feature selection is a required preprocess stage in most of the data mining tasks. This paper
presents an improved Harris hawks optimization (HHO) to find high-quality solutions for …

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 …

SGOA: annealing-behaved grasshopper optimizer for global tasks

C Yu, M Chen, K Cheng, X Zhao, C Ma… - Engineering with …, 2022 - Springer
An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …

Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models

S Jiao, G Chong, C Huang, H Hu, M Wang, AA Heidari… - Energy, 2020 - Elsevier
Extracting parameters and constructing high-precision models of photovoltaic modules
through actual current-voltage data is required for simulation, control, and optimization of a …

Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns

S Song, P Wang, AA Heidari, M Wang, X Zhao… - Knowledge-Based …, 2021 - Elsevier
Harris hawks optimization (HHO) is a newly developed swarm-based algorithm and the most
popular optimizer in the recent year, which mimics the cooperation behavior of Harris hawks …