Results 101 to 110 of about 161,130 (264)

An ant colony genetic fusion routing algorithm based on soft define network

IET Networks, EarlyView., 2022
Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

Energy Science &Engineering, EarlyView.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm

Energy Science &Engineering, EarlyView.
This study introduces an integrated optimization framework using a binary genetic algorithm (BGA) for optimal siting and sizing of two solar plants (865 and 739 kWp) in Karaj, Iran. The BGA outperformed conventional methods, achieving a 24.3% reduction in power losses and enhanced voltage stability.
Mehrab Shahbazi, Reza Eslami
wiley   +1 more source

Fuzzy optimum PSO: PSO with optimized fuzzy controllers

Majlesi Journal of Electrical Engineering
Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. Thus, already some fuzzy systems proposed to control the important structural parameters of basic PSO.
Omid Mokhlessi, Seyed Hamid Zahiri, Nasser Mehrshad   +2 more
openaire   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

IET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Harmonic elimination of a fifteen‐level inverter with reduced number of switches using genetic algorithm

IET Power Electronics, EarlyView., 2023
This article presents a Fifteen‐level inverter topology that has a lesser number of switches (12) and can accommodate isolated DC sources. The total harmonic elimination (THD) of the proposed topology using genetic algorithm is within the IEEE 519 standards. Further, the fifteen‐level inverter is implemented in Hardware and firing pulses were generated
Yogesh Joshi, Shimi Sudha Letha, Farhad Ilahi Bakhsh, Gopal Lal Jaat, Suyash Tilak   +4 more
wiley   +1 more source

Optimized Dual ANN Control Technique for Efficient Energy Management System (EMS) of Microgrid

Energy Science &Engineering, EarlyView.
Proposed methodology. ABSTRACT The escalating global energy demand necessitates a shift towards sustainable and environmentally friendly alternatives. While renewable energy sources like solar and wind energy offer promising solutions, their intermittent nature poses significant challenges for grid integration.
Bin Li, Bing Qi, Rashid Ali, Abubakar Siddique, Waseem Aslam, Hongfang Pan   +5 more
wiley   +1 more source