Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Abolfazl Rahimnejad"'
Publikováno v:
Intelligent Systems with Applications, Vol 23, Iss , Pp 200398- (2024)
Optimal reactive power dispatch (ORPD) problems are important tools for the sake of security and economics of power systems. The ORPD problems are nonlinear optimization problems to minimize the real power losses and voltage profile enhancement by op
Externí odkaz:
https://doaj.org/article/f61ae0d731d146c8bb591dc35c4ada60
Publikováno v:
Sensors, Vol 24, Iss 7, p 2087 (2024)
In this paper, a Monte Carlo (MC)-based extended Kalman filter is proposed for a two-dimensional bearings-only tracking problem (BOT). This problem addresses the processing of noise-corrupted bearing measurements from a sea acoustic source and estima
Externí odkaz:
https://doaj.org/article/bbcf3d332e1c4faca1a43a3aa07d6443
Autor:
Abolfazl Rahimnejad, Ebrahim Akbari, Seyedali Mirjalili, Stephen Andrew Gadsden, Pavel Trojovský, Eva Trojovská
Publikováno v:
PeerJ Computer Science, Vol 9, p e1557 (2023)
The whale optimization algorithm (WOA) is a widely used metaheuristic optimization approach with applications in various scientific and industrial domains. However, WOA has a limitation of relying solely on the best solution to guide the population i
Externí odkaz:
https://doaj.org/article/5e21976dfc244d3889b4f03ef7093d30
Autor:
Abolfazl Rahimnejad, Javad Enayati, Luigi Vanfretti, Stephen Andrew Gadsden, Mohammad AlShabi
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 4, Pp 410-423 (2023)
This article introduces the Sliding Innovation Lattice Filter (SILF), a robust extension of the Lattice Kalman Filter (LKF) that leverages sliding mode theory. SILF incorporates a sliding boundary layer in the measurement update formulation, enabling
Externí odkaz:
https://doaj.org/article/fb00183fa5004f009df0c42a872f5cae
Autor:
Mojtaba Ghasemi, Abolfazl Rahimnejad, Ebrahim Akbari, Ravipudi Venkata Rao, Pavel Trojovský, Eva Trojovská, Stephen Andrew Gadsden
Publikováno v:
PeerJ Computer Science, Vol 9, p e1431 (2023)
Many important engineering optimization problems require a strong and simple optimization algorithm to achieve the best solutions. In 2020, Rao introduced three non-parametric algorithms, known as Rao algorithms, which have garnered significant atten
Externí odkaz:
https://doaj.org/article/7f08cd2cb97f4a77a623a998781b7aa3
Autor:
Ali Esmaeel Nezhad, Abolfazl Rahimnejad, Pedro H. J. Nardelli, Stephen Andrew Gadsden, Subham Sahoo, Farideh Ghanavati
Publikováno v:
IEEE Access, Vol 10, Pp 29716-29730 (2022)
In this paper, the model predictive control (MPC) strategy is utilized in smart homes to handle the optimal operation of controllable electrical loads of residential end-users. In the proposed model, active consumers reduce their daily electricity bi
Externí odkaz:
https://doaj.org/article/eb26dbe8fa7d494d8d261df1deb52336
Autor:
Maryam Naeijian, Abolfazl Rahimnejad, S. Mohammadreza Ebrahimi, Nafiseh Pourmousa, S. Andrew Gadsden
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 4047-4063 (2021)
The significant global trend towards solar energy has led to the development of studies on the fabrication of high-performance solar cells. Accurate modeling and parameter identification of solar cells is of paramount importance. So far, several mode
Externí odkaz:
https://doaj.org/article/6c6a67eb85b2490491a62319b747daf2
Publikováno v:
Electronics Letters, Vol 57, Iss 13, Pp 499-501 (2021)
Abstract Grey wolf optimization (GWO) algorithm is a new emerging algorithm that is based on the social hierarchy of grey wolves as well as their hunting and cooperation strategies. Introduced in 2014, this algorithm has been used by a large number o
Externí odkaz:
https://doaj.org/article/feadca1c120544c887d2811bc126812a
Publikováno v:
Engineering Reports, Vol 3, Iss 12, Pp n/a-n/a (2021)
Abstract In power systems, busbars connect important components such as generators, transmission lines, and loads. A typical fault occurrence on the busbar may result in the isolation of faulty sections from other normally operating parts of the syst
Externí odkaz:
https://doaj.org/article/f49f1c460eef4e0d931282634fdc3001
Publikováno v:
Array, Vol 11, Iss , Pp 100074- (2021)
In numerous real-life applications, nature-inspired population-based search algorithms have been applied to solve numerical optimization problems. This paper focuses on a simple and powerful swarm optimizer, named Wild Geese Algorithm (WGA), for larg
Externí odkaz:
https://doaj.org/article/3803cf54447a4220a698f2493dd2c286