Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling DOI Creative Commons
Shuzhen Ma, Kim Geok Soh,

Salimah Binti Japar

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35145 - e35145

Published: July 24, 2024

Language: Английский

Multi-objective economic operation of smart distribution network with renewable-flexible virtual power plants considering voltage security index DOI Creative Commons
Ehsan Akbari,

Ahad Faraji Naghibi,

Mehdi Veisi

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 19, 2024

This paper discusses the simultaneous management of active and reactive power a flexible renewable energy-based virtual plant placed in smart distribution system, based on economic, operational, voltage security objectives system operator. The formulated problem aims to specify minimum weighted sum energy cost, loss, index, considering optimal flow model, formulation, operating model plant. unit includes sources, like wind systems, photovoltaic, bio-waste units. Flexibility resources include electric vehicle parking lot price-based demand response. In mentioned scheme, parameters load, vehicles, prices are uncertain. utilizes Unscented Transformation method for modeling uncertainties. Fuzzy decision-making is utilized extract compromised solution. suggested approach innovatively considers with vehicles performed promote network objectives. According numerical results, units capable boosting operation, status by approximately 43%, 47-62%, 26.9%, respectively, studies. Only response can improve security, economic states about 19.5%, 35-47%, 44%, compared model.

Language: Английский

Citations

50
Optimizing diabetic retinopathy detection with inception-V4 and dynamic version of snow leopard optimization algorithm DOI
Jing Yang, Haoshen Qin, Lip Yee Por

et al.

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 96, P. 106501 - 106501

Published: June 1, 2024

Language: Английский

Citations

33
Timely detection of skin cancer: An AI-based approach on the basis of the integration of Echo State Network and adapted Seasons Optimization Algorithm DOI

Mengdi Han,

Shuguang Zhao, Huijuan Yin

et al.

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 94, P. 106324 - 106324

Published: April 22, 2024

Language: Английский

Citations

30
SOFC stack modeling: a hybrid RBF-ANN and flexible Al-Biruni Earth radius optimization approach DOI Creative Commons

Ziqian Gong,

Lu Li, Noradin Ghadimi

et al.

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 1337 - 1350

Published: Jan. 1, 2024

Abstract This study introduces a novel hybrid methodology for model identification of solid oxide fuel cell (SOFC) stacks by integrating radial basis function-based artificial neural network (RBF-ANN) with flexible Al-Biruni Earth radius optimizer (FA-BERO). The primary objective the proposed method is to augment precision and efficiency SOFC stack modeling considering advantages both RBF-ANN FA-BERO algorithms. main purpose using these two methods optimize structure based on suggested algorithm. other contribution this improving (A-BERO) applying improvements it, including constriction factor elimination phase increase exploration exploitation strength basic A-BERO. To validate effectiveness model, it compared some state-of-the-art models in field, such as multi-armed bandit algorithm (ANN/MABA) rotor Hopfield grey wolf optimization (RHNN/GWO). Furthermore, validated experimental data, final results demonstrate efficacy approach accurately representing intricate behavior stacks. achieves lower error rates (ERs) root mean squared errors (RMSEs) than comparative across different arrangements temperature conditions. show that, instance, 2/12/1 arrangement at 900°C, attains an ER 6.69% RMSE 2.13, while ANN/MABA RHNN/GWO obtain ERs 9.67% 8.54%, well values 24.48 9.23, respectively. also exhibits superior accuracy convergence speed methods, shown current–voltage curves analysis. Consequently, offers valuable tool researchers engineers working domain technology, enabling them better understand performance.

Language: Английский

Citations

22
Thermodynamic, economic, and environmental analyses and multi-objective optimization of a CCHP system based on solid oxide fuel cell and gas turbine hybrid power cycle DOI
Zihao Huang, Huailiang You, Daifen Chen

et al.

Fuel, Journal Year: 2024, Volume and Issue: 368, P. 131649 - 131649

Published: April 8, 2024

Language: Английский

Citations

20
Stochastic economic sizing of hydrogen storage-based renewable off-grid system with smart charge of electric vehicles according to combined hydrogen and power model DOI
Rujia Wang, Ehsan Akbari, Leila Bagherzadeh

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 108, P. 115171 - 115171

Published: Jan. 5, 2025

Language: Английский

Citations

3
Optimal economic model of a combined renewable energy system utilizing Modified DOI

Wang Zehao,

Chen Zile,

Simin Yang

et al.

Sustainable Energy Technologies and Assessments, Journal Year: 2025, Volume and Issue: 74, P. 104186 - 104186

Published: Jan. 23, 2025

Language: Английский

Citations

2
Reliable operation of reconfigurable smart distribution network with real-time pricing-based demand response DOI

Ramin Borjali Navesi,

Ahad Faraji Naghibi,

Hamidreza Zafarani

et al.

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 241, P. 111341 - 111341

Published: Dec. 12, 2024

Language: Английский

Citations

11
Economic and technical analysis of an HRES (Hybrid Renewable Energy System) comprising wind, PV, and fuel cells using an improved subtraction-average-based optimizer DOI Creative Commons
Yanjun Wang,

He Xiping,

Qiang Liu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(12), P. e32712 - e32712

Published: June 1, 2024

HRES (Hybrid Renewable Energy Systems) has been designed because of the increasing demand for environmentally friendly and sustainable energy. In this study, an Improved Subtraction-Average-Based Optimizer (ISABO) is presented optimizing system by wind power, fuel cells, solar The suggested approach, introducing adaptive mechanisms enhancing processes, improves performance traditional subtraction-average-based optimization. Optimization aims to provide reliable efficient energy while lowering expenses. efficacy ISABO evaluated goal compared with other optimization techniques. According findings, algorithm, when equipped mechanisms, surpasses conventional techniques achieving a 12 % decrease in Net Present Cost (NPC) Levelized Electricity (LCOE) along 45 cost reduction electrolyzers. Through simulations, it shown that algorithm ensures lowest average NPC at $1,357,018.15 also upholding reliability just 0.8 decline Load Point Supply Probability (LPSP) event PV unit failure. This research validates hybrid PV/wind/fuel cell systems present superior cost-effectiveness reliability, thereby opening doors more economical renewable solutions. study reveals are cost-effective than purely wind, PV, or systems. advancement design will enable options.

Language: Английский

Citations

10
Capability of battery-based integrated renewable energy systems in the energy management and flexibility regulation of smart distribution networks considering energy and flexibility markets DOI

Ramin Borjali Navesi,

Morteza Jadidoleslam, Zahra Moradi‐Shahrbabak

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 98, P. 113007 - 113007

Published: July 25, 2024

Language: Английский

Citations

9