Comparison and evaluation of advanced machine learning methods for performance and emissions prediction of a gasoline Wankel rotary engine
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DOI: 10.1016/j.energy.2022.123611
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- Wang, Chongyao & Wang, Xin & Wang, Huaiyu & Xu, Yonghong & Ge, Yunshan & Tan, Jianwei & Hao, Lijun & Wang, Yachao & Zhang, Mengzhu & Li, Ruonan, 2024. "Co-optimizing NOx emission and power output of a natural gas engine-ORC combined system through neural networks and genetic algorithms," Energy, Elsevier, vol. 289(C).
- Jiao, Huichao & Ye, Xianlei & Zou, Run & Wang, Nana & Liu, Jinxiang, 2022. "Comparative study on ignition and combustion between conventional spark-ignition method and near-wall surface ignition method for small-scale Wankel rotary engine," Energy, Elsevier, vol. 255(C).
- Shi, Cheng & Chai, Sen & Di, Liming & Ji, Changwei & Ge, Yunshan & Wang, Huaiyu, 2023. "Combined experimental-numerical analysis of hydrogen as a combustion enhancer applied to wankel engine," Energy, Elsevier, vol. 263(PC).
- Tan, Dongli & Wu, Yao & Lv, Junshuai & Li, Jian & Ou, Xiaoyu & Meng, Yujun & Lan, Guanglin & Chen, Yanhui & Zhang, Zhiqing, 2023. "Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology," Energy, Elsevier, vol. 263(PC).
- Shi, Ting & Wang, Huaiyu & Yang, Wenming & Peng, Xueyuan, 2024. "Mathematical modeling and optimization of gas foil bearings-rotor system in hydrogen fuel cell vehicles," Energy, Elsevier, vol. 290(C).
- Cesar de Lima Nogueira, Silvio & Och, Stephan Hennings & Moura, Luis Mauro & Domingues, Eric & Coelho, Leandro dos Santos & Mariani, Viviana Cocco, 2023. "Prediction of the NOx and CO2 emissions from an experimental dual fuel engine using optimized random forest combined with feature engineering," Energy, Elsevier, vol. 280(C).
- Wang, Huaiyu & Ji, Changwei & Shi, Cheng & Yang, Jinxin & Wang, Shuofeng & Ge, Yunshan & Chang, Ke & Meng, Hao & Wang, Xin, 2023. "Multi-objective optimization of a hydrogen-fueled Wankel rotary engine based on machine learning and genetic algorithm," Energy, Elsevier, vol. 263(PD).
- Bo Zhang & Huaiyu Wang & Shuofeng Wang, 2023. "Computational Investigation of Combustion, Performance, and Emissions of a Diesel-Hydrogen Dual-Fuel Engine," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
- Yang, Jinxin & Wang, Huaiyu & Ji, Changwei & Chang, Ke & Wang, Shuofeng, 2023. "Investigation of intake closing timing on the flow field and combustion process in a small-scaled Wankel rotary engine under various engine speeds designed for the UAV application," Energy, Elsevier, vol. 273(C).
- Wang, Huaiyu & Ji, Changwei & Yang, Jinxin & Wang, Shuofeng & Ge, Yunshan, 2022. "Towards a comprehensive optimization of the intake characteristics for side ported Wankel rotary engines by coupling machine learning with genetic algorithm," Energy, Elsevier, vol. 261(PB).
- Chang, Ke & Ji, Changwei & Wang, Shuofeng & Yang, Jinxin & Wang, Huaiyu & Xin, Gu & Meng, Hao, 2022. "Numerical investigation of the combined effect of injection angle and injection pressure in a gasoline direct injection rotary engine," Energy, Elsevier, vol. 254(PB).
- Yun Chen & Chengwei Liang & Dengcheng Liu & Qingren Niu & Xinke Miao & Guangyu Dong & Liguang Li & Shanbin Liao & Xiaoci Ni & Xiaobo Huang, 2022. "Embedding-Graph-Neural-Network for Transient NOx Emissions Prediction," Energies, MDPI, vol. 16(1), pages 1-20, December.
- Chang, Ke & Ji, Changwei & Wang, Shuofeng & Yang, Jinxin & Wang, Huaiyu & Meng, Hao & Liu, Dianqing, 2023. "Numerical investigation of the synchronous and asynchronous changes of ignition timing in a double spark plugs direct injection rotary engine," Energy, Elsevier, vol. 268(C).
- Li, Ji & Zhou, Quan & He, Xu & Chen, Wan & Xu, Hongming, 2023. "Data-driven enabling technologies in soft sensors of modern internal combustion engines: Perspectives," Energy, Elsevier, vol. 272(C).
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Keywords
Gasoline Wankel rotary engines; Performance and emissions prediction; Advanced machine learning methods; Scarce data sets;All these keywords.
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