Attention-Based Hydrogen Refueling Imputation Model for Efficient Hydrogen Refueling Stations DOI Creative Commons
Keunsoo Ko, Changgyun Kim

Applied Sciences, Год журнала: 2024, Номер 14(22), С. 10332 - 10332

Опубликована: Ноя. 10, 2024

During hydrogen refueling, the data values determining state of charge (SoC) a vehicle can be missing due to internal and external factors. This causes inaccurate SoC estimation, resulting in oversupply or undersupply. To overcome this issue, an attention-based refueling imputation (AHRI) model, which restores values, is proposed paper. In particular, considering that variables vary depending on environmental conditions equipment station (HRS), we use attention mechanism. It determines primary features, improves predictive performance helps adapt new conditions. Using observed during train AHRI model verify its efficacy. Experimental results show outperforms existing models significantly. Here, achieves 0.95 0.82 terms R2 when 20% 40% are missing, respectively. These indicate used solve problems HSRs.

Язык: Английский

A sequential decision-making framework for integrating renewable energy communities and refueling stations in hydrogen production DOI
Mohammad Reza Salehizadeh, Muhammed Ali Beyazıt, Akın Taşçıkaraoğlu

и другие.

Applied Energy, Год журнала: 2025, Номер 387, С. 125547 - 125547

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Design of an Electric Vehicle Charging System Consisting of PV and Fuel Cell for Historical and Tourist Regions DOI Creative Commons
Süleyman Emre Dağteke, Sencer Ünal

World Electric Vehicle Journal, Год журнала: 2024, Номер 15(7), С. 288 - 288

Опубликована: Июнь 28, 2024

One of the most important problems in widespread use electric vehicles is lack charging infrastructure. Especially tourist areas where historical buildings are located, installation a power grid for vehicle stations or generating electrical energy by installing renewable production systems such as large-sized PV (photovoltaic) and wind turbines poses problem because it causes deterioration texture. Considering need sources transportation sector, our aim this study to model an station using PVPS (photovoltaic system) FC (fuel cell) irradiation temperature data from regions. This designed performs charging, meeting demand house hydrogen feeding electrolyzer with surplus producing during daytime. At night, when there no solar radiation, residential met system. advantages system storage instead battery conversion into FC. Unlike other studies, study, fossil diesel generators not included stable operation The may refueling unfavorable climatic conditions capacity limited fuel tank capacity.

Язык: Английский

Процитировано

4

Multi-time scale robust optimization for integrated multi-energy system considering the internal coupling relationship of photovoltaic battery swapping-charging-storage station DOI

Zhang Jun-xia,

Xingmei Li,

Qinliang Tan

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 109, С. 115109 - 115109

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

0

Real-time optimization for integrated R2 charging and refueling stations in a multi-carrier energy system considering hydrogen chain management DOI
Ayşe Kübra Erenoğlu

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 85, С. 310 - 326

Опубликована: Авг. 24, 2024

Язык: Английский

Процитировано

2

Proposing an innovative model for solar irradiance and wind speed forecasting DOI
Xiaomang Liu

Applied Thermal Engineering, Год журнала: 2024, Номер unknown, С. 125224 - 125224

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2

Virtual Energy Storage System Scheduling for Commercial Buildings with Fixed and Dynamic Energy Storage DOI Creative Commons

Grmay Yordanos Brhane,

Eunsung Oh, Sung-Yong Son

и другие.

Energies, Год журнала: 2024, Номер 17(13), С. 3292 - 3292

Опубликована: Июль 4, 2024

This study presents a virtual energy storage system (VESS) scheduling method that strategically integrates fixed and dynamic (ES) solutions to optimize management in commercial buildings. Fixed ES, such as batteries, provides stable flexibility but is expensive can be inefficiently operated. In contrast, ES utilized needed requires validation of their flexibility. By combining with utilizing vehicle-to-grid (V2G) capabilities, this approach enhances grid stability manages costs more effectively. Empirical using real-world data from Korea demonstrates significant improvements total net benefits by reducing costs, which are crucial for the economic sustainability use. Additionally, analysis Pearson’s linear correlation coefficient demand identifies where occur process. The integrated reduces need costly upgrades utility grid, suggesting strategic advantage large-scale adoption. establishes framework broader implementation systems, highlighting potential substantial efficiency, reduced carbon emissions, enhanced reliability.

Язык: Английский

Процитировано

1

A Quantitative Evaluation and Prediction Method for the Safety Resilience of Hydrogen Refueling Stations and its Case Study DOI
Shihao Zhang, Jixin Zhang,

Jianyu Qiao

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Attention-Based Hydrogen Refueling Imputation Model for Efficient Hydrogen Refueling Stations DOI Creative Commons
Keunsoo Ko, Changgyun Kim

Applied Sciences, Год журнала: 2024, Номер 14(22), С. 10332 - 10332

Опубликована: Ноя. 10, 2024

During hydrogen refueling, the data values determining state of charge (SoC) a vehicle can be missing due to internal and external factors. This causes inaccurate SoC estimation, resulting in oversupply or undersupply. To overcome this issue, an attention-based refueling imputation (AHRI) model, which restores values, is proposed paper. In particular, considering that variables vary depending on environmental conditions equipment station (HRS), we use attention mechanism. It determines primary features, improves predictive performance helps adapt new conditions. Using observed during train AHRI model verify its efficacy. Experimental results show outperforms existing models significantly. Here, achieves 0.95 0.82 terms R2 when 20% 40% are missing, respectively. These indicate used solve problems HSRs.

Язык: Английский

Процитировано

0