Results 21 to 30 of about 261 (126)

Eco‐environmental operation of energy hub considering uncertainties of supply/demand‐side resources with introducing a novel optimization algorithm

open access: yesIET Renewable Power Generation, Volume 17, Issue 15, Page 3668-3686, 16 November 2023., 2023
In this manuscript, an innovative 24 h scenario‐based energy hub energy management system is proposed for cost and emission reduction in case of uncertainties. Also, a multi objective hybrid heuristic algorithm called hBES‐MOGWO is introduced for solving energy hub energy management system problem.
Mehdi Akbarpour   +3 more
wiley   +1 more source

A novel global FPPT strategy for PV system under partial shading condition

open access: yesIET Renewable Power Generation, Volume 17, Issue 14, Page 3403-3423, 26 October 2023., 2023
Based on statistical results (more than 2430 MATLAB simulations and hard‐in‐loop experiments) with a comprehensive comparison index, the CPA is selected and modified to serve as the core optimizer for the GFPPT optimization problem. Based on the features of MH and GFPP, a novel modification strategy is proposed to reduce searching time, including an ...
Xueliang Xing, Limin Jia, Xiangzhen Yang
wiley   +1 more source

Improved hybrid sparrow search algorithm for an extreme learning machine neural network for short‐term photovoltaic power prediction in 5G energy‐routing base stations

open access: yesIET Renewable Power Generation, Volume 17, Issue 2, Page 336-348, 3 February 2023., 2023
Abstract Given the advancements in solar power generation and fifth‐generation (5G) technologies, it is crucial to reduce energy consumption based on accurate predictions of the photovoltaic power requirements of 5G base stations (BSs) connected to renewable energy sources.
Ming Yan   +7 more
wiley   +1 more source

Contact Resistance Volatility Prediction of Pantograph-Catenary Based on IPOA-ELM

open access: yesIEEE Access
The volatility of contact resistance directly reflects the fluctuation of friction pairs in the pantograph-catenary system, so this paper proposes a new prediction model of contact resistance volatility based on an improved Pelican optimization algorithm
Lichuan Hui, Jianfei Chen
doaj   +1 more source

Automated climate prediction using pelican optimization based hybrid deep belief network for Smart Agriculture

open access: yesMeasurement: Sensors, 2023
A significant part of the economies of several nations throughout the world, including India, where agriculture accounts for 16% of the total economy.
A. Punitha, V. Geetha
doaj   +1 more source

Multiobjective Approach to Schedule DAG Tasks on Voltage Frequency Islands

open access: yesIEEE Access, 2023
Scheduling a Directed Acyclic Graph (DAG) on voltage frequency islands involves dividing the available processing units into multiple islands with varying voltage and frequency levels and then mapping the tasks of the DAG to the islands while minimizing ...
Sanchit, Navjot Singh, Jagpreet Singh
doaj   +1 more source

Sigmoid-Function-Based Adaptive Pelican Optimization Algorithm for Global Optimization

open access: yesInternational Journal of Electrical Engineering and Applied Sciences
This paper introduces the Sigmoid-function-based Adaptive Pelican Optimization Algorithm (MPOA), an enhanced version of the traditional Pelican Optimization Algorithm (POA) aimed at improving the POA's performance.
A. F. S. Yussif   +2 more
doaj   +1 more source

Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction.

open access: yesPLoS ONE, 2023
The Underwater Acoustic Sensor Network (UASN) is a large network in which the vicinity of a transmitting node is made up of numerous operational sensor nodes. The communication process may be substantially disrupted due to the underwater acoustic channel'
Sathish Kaveripakam   +1 more
doaj   +1 more source

Prediction of stamping parameters for imitation π-shaped lithium battery shells by building variable weight and threshold pelican-BP neural networks

open access: yesAdvances in Mechanical Engineering, 2022
With the rapid development of artificial neural networks, more sophisticated network models and more accurate prediction results are provided for solving engineering applications.
Yuanyuan Gao   +3 more
doaj   +1 more source

Pelican Optimization Algorithm (POA)-based Method for Solving the Optimal Capacitor Integration (OCI) Problem

open access: yesAndalasian International Journal of Applied Science, Engineering and Technology
This study presents a pelican optimization algorithm (POA) based technique for optimizing the integration of capacitor banks in radial power distribution systems. The proposed approach adopts a hybrid approach that combines the loss sensitivity factors (LSF) and the POA to determine the appropriate placement and sizing of the capacitor banks ...
Abdul-Fatawu Seini Yussif   +2 more
openaire   +1 more source

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