Search Results - subject:"Optimization algorithm"

Developed Coyote Optimization Algorithm and its application to optimal parameters estimation of PEMFC model

Yuan, Zhi; Wang, Weiqing; Wang, Haiyun; Yildizbasi, Abdullah - In: Energy Reports 6 (2020), pp. 1106-1117

Optimization Algorithm (DCOA) for determining the value of the unknown parameters in the model. Two different PEMFC models … and some well-known methods including conventional COA, Seagull Optimization Algorithm, and (N + λ) - ES algorithm to show …

Persistent link: https://www.econbiz.de/10012652467

Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

Samadianfard, Saeed; Hashemi, Sajjad; Kargar, Katayoun; … - In: Energy Reports 6 (2020), pp. 1147-1159

) with the Whale Optimization Algorithm (WOA) was used to build new method (MLP-WOA) with a limited set of data (2004 … models. It was concluded that the WOA optimization algorithm could improve the prediction accuracy of the MLP model and may …

Persistent link: https://www.econbiz.de/10012652471

Parameter estimation of PEMFC based on Improved Fluid Search Optimization Algorithm

Qin, Fuzhen; Liu, Peixue; Niu, Haichun; Song, Haiyan; … - In: Energy Reports 6 (2020), pp. 1224-1232

data and the estimated results. The optimization process here is based on an Improved Fluid Search Optimization Algorithm …

Persistent link: https://www.econbiz.de/10012652477

New optimized technique for unknown parameters selection of SOFC using Converged Grass Fibrous Root Optimization Algorithm

Shi, Hong; Li, Jing; Zafetti, Nicholas - In: Energy Reports 6 (2020), pp. 1428-1437

, a new metaheuristic, called the Converged Grass Fibrous Root Optimization Algorithm (CGRA) is presented and is validated …

Persistent link: https://www.econbiz.de/10012652494

Optimal Designing and Synthesis of a Hybrid PV/Fuel cell/Wind System using Meta-heuristics

Cao, Yan; Yao, Hui; Wang, Zhijie; Yousefi, Nasser - In: Energy Reports 6 (2020), pp. 1353-1362

In this paper, a multi-objective optimization method has been established on a hybrid PV, wind, fuel cell, and battery system. The optimization is based on three models including energy supply reliability, electricity efficiency, and capital cost of the hybrid system. A new model of the Elephant...

Persistent link: https://www.econbiz.de/10012652495

Optimized parameter estimation of a PEMFC model based on improved Grass Fibrous Root Optimization Algorithm

Guo, Haibing; Tao, Hai; Salih, Sinan Q.; Yaseen, Zaher … - In: Energy Reports 6 (2020), pp. 1510-1519

Optimization Algorithm (MGRA) has been presented. Final results are compared with some several well-known algorithms to indicate …

Persistent link: https://www.econbiz.de/10012652502

Parameter identification of PEMFC based on Convolutional neural network optimized by balanced deer hunting optimization algorithm

Yuan, Zhi; Wang, Weiqing; Wang, Haiyun; Ashourian, Mohsen - In: Energy Reports 6 (2020), pp. 1572-1580

(PEMFC) for increasing the model accuracy. In this research, a new improved version based on deer hunting optimization … algorithm (DHOA) is applied to the Convolutional neural network for the PEMFC parameters identification purpose. Indeed, the …

Persistent link: https://www.econbiz.de/10012652508

An enhanced hybrid model based on multiple influencing factors and divide-conquer strategy for carbon price prediction

Wang, Jujie; Zhuang, Zhenzhen; Gao, Dongming - In: Omega : the international journal of management science 120 (2023), pp. 1-20

Persistent link: https://www.econbiz.de/10014446073

Uncertainty analysis-forecasting system based on decomposition-ensemble framework for PM2.5 concentration forecasting in China

Qu, Zongxi; Hao, Xiaogang; Zhao, Fazhen; Niu, Chunhua - In: Journal of forecasting 42 (2023) 8, pp. 2027-2044

Persistent link: https://www.econbiz.de/10014432836

A two-stage stochastic programming for AGV scheduling with random tasks and battery swapping in automated container terminals

Li, Linman; Li, Yuqing; Liu, Ran; Zhou, Yaoming; Pan, Ershun - In: Transportation research / E : an international journal 174 (2023), pp. 1-29

Persistent link: https://www.econbiz.de/10014338094