Ebrahim Akbari

About Ebrahim Akbari

Ebrahim Akbari, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Isfahan, specializes in the field of Power Market, Power System Operation, Optimization Algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

An improved hybrid whale optimization algorithm for global optimization and engineering design problems

A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA)

A self-competitive mutation strategy for Differential Evolution algorithms with applications to Proportional–Integral–Derivative controllers and Automatic Voltage Regulator systems

Application of Coulomb’s and Franklin’s laws algorithm to solve large-scale optimal reactive power dispatch problems

Optimal Power Flow via Teaching-Learning-Studying-Based Optimization Algorithm

Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese

A greedy non‐hierarchical grey wolf optimizer for real‐world optimization

Natural gas unavailability, price uncertainty, and emission reduction policy in stochastic programming‐based optimal bidding of compressed air energy storage and wind units

Ebrahim Akbari Information

University

Position

PhD in Electrical Engineering from

Citations(all)

1130

Citations(since 2020)

948

Cited By

459

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Ebrahim Akbari Skills & Research Interests

Power Market

Power System Operation

Optimization Algorithms

Top articles of Ebrahim Akbari

An improved hybrid whale optimization algorithm for global optimization and engineering design problems

PeerJ Computer Science

2023

A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA)

PeerJ Computer Science

2023/8/4

A self-competitive mutation strategy for Differential Evolution algorithms with applications to Proportional–Integral–Derivative controllers and Automatic Voltage Regulator systems

Decision Analytics Journal

2023/6/1

Application of Coulomb’s and Franklin’s laws algorithm to solve large-scale optimal reactive power dispatch problems

Soft Computing

2022/12

Mojtaba Ghasemi
Mojtaba Ghasemi

H-Index: 0

Ebrahim Akbari
Ebrahim Akbari

H-Index: 10

Optimal Power Flow via Teaching-Learning-Studying-Based Optimization Algorithm

Electric Power Components and Systems

2022/2/9

Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese

Array

2021/9/1

Mojtaba Ghasemi
Mojtaba Ghasemi

H-Index: 0

Ebrahim Akbari
Ebrahim Akbari

H-Index: 10

A greedy non‐hierarchical grey wolf optimizer for real‐world optimization

Electronics Letters

2021/4/16

Ebrahim Akbari
Ebrahim Akbari

H-Index: 10

Natural gas unavailability, price uncertainty, and emission reduction policy in stochastic programming‐based optimal bidding of compressed air energy storage and wind units

IET Renewable Power Generation

2021/1

Ebrahim Akbari
Ebrahim Akbari

H-Index: 10

Moein Parastegari
Moein Parastegari

H-Index: 17

A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)

Engineering Applications of Artificial Intelligence

2020/6/1

See List of Professors in Ebrahim Akbari University(University of Isfahan)

Co-Authors

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