A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future

M Ghiasi, T Niknam, Z Wang, M Mehrandezh… - Electric Power Systems …, 2023 - Elsevier
Due to the advancement in communication networks, metering and smart control systems,
as well as the prevalent use of Internet-based structures, new forms of power systems have …

Model identification of proton-exchange membrane fuel cells based on a hybrid convolutional neural network and extreme learning machine optimized by improved …

E Han, N Ghadimi - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
In this research, a new optimized deep learning-based methodology is proposed for optimal
and efficient modeling of the Proton-exchange membrane fuel cells. Here, a hybrid method …

Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation

M Ghiasi, Z Wang, M Mehrandezh, S Jalilian… - IET Smart …, 2023 - Wiley Online Library
To achieve low‐carbon sustainable energy development, new technologies such as Internet
of Energy (IoE), intelligent systems and Internet of Things (IoT) as well as distributed energy …

Optimum structure of a combined wind/photovoltaic/fuel cell-based on amended Dragon Fly optimization algorithm: a case study

G Bo, P Cheng, K Dezhi, W Xiping… - Energy Sources, Part …, 2022 - Taylor & Francis
This study proposes a new optimal hybrid renewable energy system (HRES) arrangement,
including a photovoltaic system, wind turbine, and fuel cell, for electrifying a remote area in …

Model parameters identification of the PEMFCs using an improved design of Crow Search Algorithm

F Duan, F Song, S Chen, M Khayatnezhad… - International Journal of …, 2022 - Elsevier
There is an increasing trend for fuel cell systems applications in electricity generation
systems instead of traditional power generation systems because of their advantages such …

Optimal model evaluation of the proton-exchange membrane fuel cells based on deep learning and modified African Vulture Optimization Algorithm

J Zhang, M Khayatnezhad… - Energy Sources, Part A …, 2022 - Taylor & Francis
ABSTRACT A new optimized design of a hybrid AlexNet/Extreme Learning Machine (ELM)
network to provide an optimal identification tool for the Proton-exchange membrane fuel …

An innovative technique for optimization and sensitivity analysis of a PV/DG/BESS based on converged Henry gas solubility optimizer: A case study

N Ghadimi, M Sedaghat, KK Azar… - IET Generation …, 2023 - Wiley Online Library
The construction of hybrid power plants with renewable resources can bring significant
economic benefits if it is evaluated economically and technically. The present study uses a …

[HTML][HTML] Next-generation blockchain enabled smart grid: Conceptual framework, key technologies and industry practices review

SS Uddin, R Joysoyal, SK Sarker, SM Muyeen, MF Ali… - Energy and AI, 2023 - Elsevier
Technological advancements in smart grid energy systems (SGESs) are introducing
sustainable frameworks to meet the demand for the fourth industrial energy revolution …

Parameter extraction of the SOFC mathematical model based on fractional order version of dragonfly algorithm

H Guo, W Gu, M Khayatnezhad, N Ghadimi - International Journal of …, 2022 - Elsevier
Fuel cells are considered as new kinds of clean energy sources. This study presents a
method for optimal unknown parameters identification of a Solid Oxide Fuel Cell (SOFC) …

Optimal modeling of combined cooling, heating, and power systems using developed African Vulture Optimization: a case study in watersport complex

L Chen, H Huang, P Tang, D Yao, H Yang… - Energy Sources, Part …, 2022 - Taylor & Francis
The present study proposes an optimal design of combined cooling, heating, and power
systems (CCHP) for a watersport complex. The main purpose is to reduce the energy losses …