Results 81 to 90 of about 4,354 (214)

State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning

Energy Conversion and Economics, Volume 7, Issue 3, Page 180-193, June 2026.
Abstract Accurate state of health (SOH) estimation is crucial for the safe operation of lithium‐ion batteries. To address the limited capability of traditional models in characterizing nonlinear degradation, this study proposes a novel data‐driven SOH estimation framework.
Yumin Zhang, Yongtao Liu, Pingfeng Ye, Xingquan Ji, Yunqi Wang, Kezhuang Xue, Xuchen Ma   +6 more
wiley   +1 more source

Prediction of solar irradiance using grey wolf Optimizer-Least-Square support vector machine

, 2020
Prediction of solar irradiance is important for minimizing energy costs and providing high power quality in a photovoltaic (PV) system. This paper proposes a new technique for prediction of hourly-ahead solar irradiance namely Grey Wolf Optimizer- Least ...
Hasmaini Mohamad, Mat Yasin, Zuhaila, Mohamad, Hasmaini, Ab Wahab, Norfishah, Ab Aziz, Nur Fadilah, Zuhaila Mat Yasin, Norfishah Ab Wahab, Nur Fadilah Ab Aziz, Ashida Salim, Nur, Nur Ashida Salim   +9 more
core   +2 more sources

An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing [PDF]

, 2018
Distributed Compressed Sensing (DCS) is an important research area of compressed sensing (CS). This paper aims at solving the Distributed Compressed Sensing (DCS) problem based on mixed support model. In solving this problem, the previous proposed greedy
Haiqiang Liu, Gang Hua, Hongsheng Yin, Yonggang Xu   +3 more
core   +1 more source

An Improved Gray Wolf Optimizer MPPT Algorithm for PV System With BFBIC Converter Under Partial Shading

IEEE Access, 2020
Based on the boost full bridge isolated converter (BFBIC) topology and considering the sudden changes in the external environment, a global maximum power point tracking (GMPPT) control strategy based on an improved gray wolf optimizer (IGWO) algorithm is
Ke Guo, Lichuang Cui, Mingxuan Mao, Lin Zhou, Qianjin Zhang   +4 more
doaj   +1 more source

AN OPTIMAL POWER SCHEDULING A SMART HOME USING GREY WOLF OPTIMIZER (GWO)

, 2019
In this paper, GWO is adapted for Power Schedul- ing Problem (PSP). PSP is addressed by schedul- ing home appliances to a certain time horizon to minimize the electricity bill and peak-to-average ratio (PAR) and increase the comfort level of users. The simulation results shows the GWO ef- ficiency in obtaining optimal schedule by com- pare its results ...
openaire   +2 more sources

A Novel Hybrid Recruit Simulated Annealing and Rat Swarm Optimization Algorithm for Permutation Flow Shop Scheduling

Engineering Reports, Volume 8, Issue 4, April 2026.
Rat swarm position update mechanism in HRSA‐RSO, illustrating the collective exploration behavior around the prey target (A*, B*). ABSTRACT The permutation flow shop scheduling problem (PFSSP) is a classical NP‐hard problem that aims to determine an optimal job sequence across machines to minimize makespan.
Mourad Mzili, Mouna Torki, Toufik Mzili, Mohammed Benzakour Amine, Nebojsa Bacanin, Momina Shaheen   +5 more
wiley   +1 more source

A Dynamic Opposite Learning-Assisted Grey Wolf Optimizer

, 2022
The grey wolf optimization (GWO) algorithm is widely utilized in many global optimization applications. In this paper, a dynamic opposite learning-assisted grey wolf optimizer (DOLGWO) was proposed to improve the search ability.
Chao Chen, Yunlang Xu, Yuqian Zhang, Chengyu Jin, Qiang Li, Yang Wang, Zhile Yang, Tianyu Hu   +7 more
core   +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, Volume 14, Issue 4, Page 1749-1764, April 2026.
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

IMPLEMENTASI ALGORITMA GREY WOLF OPTIMIZER (GWO) DI TOKO CITRA TANI JEMBER

Majalah Ilmiah Matematika dan Statistika, 2019
Generally, optimization is defined as the process of determining the minimum or maximum value that depends on the function of the goal, even now there are many problems regarding optimization. One of them is the problem regarding the selection of goods to be included in a limited storage medium called Knapsack problem.
Kiswara Agung Santoso, Ahmad Kamsyakawuni, Vidiyanti Lestari   +2 more
openaire   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 297-315, April 2026.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source