Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning
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DOI: 10.1016/j.energy.2023.129361
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- Li, Jiangkuan & Lin, Meng & Li, Yankai & Wang, Xu, 2022. "Transfer learning network for nuclear power plant fault diagnosis with unlabeled data under varying operating conditions," Energy, Elsevier, vol. 254(PB).
- Li, Guolong & Li, Yanjun & Fang, Chengyue & Su, Jian & Wang, Haotong & Sun, Shengdi & Zhang, Guolei & Shi, Jianxin, 2023. "Research on fault diagnosis of supercharged boiler with limited data based on few-shot learning," Energy, Elsevier, vol. 281(C).
- Bellocchi, Sara & Colbertaldo, Paolo & Manno, Michele & Nastasi, Benedetto, 2023. "Assessing the effectiveness of hydrogen pathways: A techno-economic optimisation within an integrated energy system," Energy, Elsevier, vol. 263(PE).
- Rostek, Kornel & Morytko, Łukasz & Jankowska, Anna, 2015. "Early detection and prediction of leaks in fluidized-bed boilers using artificial neural networks," Energy, Elsevier, vol. 89(C), pages 914-923.
- Ren, Zhengxiong & Han, Hua & Cui, Xiaoyu & Lu, Hailong & Luo, Mingwen, 2023. "Novel data-pulling-based strategy for chiller fault diagnosis in data-scarce scenarios," Energy, Elsevier, vol. 279(C).
- Indrawan, Natarianto & Shadle, Lawrence J. & Breault, Ronald W. & Panday, Rupendranath & Chitnis, Umesh K., 2021. "Data analytics for leak detection in a subcritical boiler," Energy, Elsevier, vol. 220(C).
- Groll, Manfred, 2023. "Can climate change be avoided? Vision of a hydrogen-electricity energy economy," Energy, Elsevier, vol. 264(C).
- Li, Dan & Jiang, Fuxin & Chen, Min & Qian, Tao, 2022. "Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks," Energy, Elsevier, vol. 238(PC).
- Li, Ke & Shen, Ruifang & Wang, Zhenguo & Yan, Bowen & Yang, Qingshan & Zhou, Xuhong, 2023. "An efficient wind speed prediction method based on a deep neural network without future information leakage," Energy, Elsevier, vol. 267(C).
- Zhou, Jie & Lin, Haifei & Li, Shugang & Jin, Hongwei & Zhao, Bo & Liu, Shihao, 2023. "Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
- Shi, Jihao & Li, Junjie & Usmani, Asif Sohail & Zhu, Yuan & Chen, Guoming & Yang, Dongdong, 2021. "Probabilistic real-time deep-water natural gas hydrate dispersion modeling by using a novel hybrid deep learning approach," Energy, Elsevier, vol. 219(C).
- Wang, Jingfan & Ji, Jingwei & Ravikumar, Arvind P. & Savarese, Silvio & Brandt, Adam R., 2022. "VideoGasNet: Deep learning for natural gas methane leak classification using an infrared camera," Energy, Elsevier, vol. 238(PB).
- Vallee, Mathieu & Wissocq, Thibaut & Gaoua, Yacine & Lamaison, Nicolas, 2023. "Generation and evaluation of a synthetic dataset to improve fault detection in district heating and cooling systems," Energy, Elsevier, vol. 283(C).
- Charles Bronzo Barbosa Farias & Robson Carmelo Santos Barreiros & Milena Fernandes da Silva & Alessandro Alberto Casazza & Attilio Converti & Leonie Asfora Sarubbo, 2022. "Use of Hydrogen as Fuel: A Trend of the 21st Century," Energies, MDPI, vol. 15(1), pages 1-20, January.
- Tan, Peng & He, Biao & Zhang, Cheng & Rao, Debei & Li, Shengnan & Fang, Qingyan & Chen, Gang, 2019. "Dynamic modeling of NOX emission in a 660 MW coal-fired boiler with long short-term memory," Energy, Elsevier, vol. 176(C), pages 429-436.
- Balta, Münevver Özge & Balta, Mustafa Tolga, 2022. "Development of a sustainable hydrogen city concept and initial hydrogen city projects," Energy Policy, Elsevier, vol. 166(C).
- Han, Li & Jing, Huitian & Zhang, Rongchang & Gao, Zhiyu, 2019. "Wind power forecast based on improved Long Short Term Memory network," Energy, Elsevier, vol. 189(C).
- Yuan, Shuaiqi & Cai, Jitao & Reniers, Genserik & Yang, Ming & Chen, Chao & Wu, Jiansong, 2022. "Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
- Zhou, Feite & Huang, Zhehao & Zhang, Changhong, 2022. "Carbon price forecasting based on CEEMDAN and LSTM," Applied Energy, Elsevier, vol. 311(C).
- Ajanovic, A. & Glatt, A. & Haas, R., 2021. "Prospects and impediments for hydrogen fuel cell buses," Energy, Elsevier, vol. 235(C).
- Zheng, Jianqin & Wang, Chang & Liang, Yongtu & Liao, Qi & Li, Zhuochao & Wang, Bohong, 2022. "Deeppipe: A deep-learning method for anomaly detection of multi-product pipelines," Energy, Elsevier, vol. 259(C).
- Li, Feng & Yuan, Yupeng & Yan, Xinping & Malekian, Reza & Li, Zhixiong, 2018. "A study on a numerical simulation of the leakage and diffusion of hydrogen in a fuel cell ship," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 177-185.
- Su, Yue & Li, Jingfa & Yu, Bo & Zhao, Yanlin, 2022. "Numerical investigation on the leakage and diffusion characteristics of hydrogen-blended natural gas in a domestic kitchen," Renewable Energy, Elsevier, vol. 189(C), pages 899-916.
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Cited by:
- Leiqi Zhang & Qiliang Wu & Min Liu & Hao Chen & Dianji Wang & Xuefang Li & Qingxin Ba, 2025. "Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations," Energies, MDPI, vol. 18(2), pages 1-17, January.
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Keywords
Hydrogen leakage; Leakage location; Hydrogen refueling station; CNN; LSTM; CEEMDAN;All these keywords.
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