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Multi-objective optimization of a hydrogen-fueled Wankel rotary engine based on machine learning and genetic algorithm
H Wang, C Ji, C Shi, J Yang, S Wang, Y Ge, K Chang… - Energy, 2023 - Elsevier
Hydrogen is a promising way to achieve high efficiency and low emissions for Wankel rotary
engines. In this paper, the intake and exhaust phases and excess air ratios (λ) were …
engines. In this paper, the intake and exhaust phases and excess air ratios (λ) were …
Optimizing photovoltaic thermal solar systems efficiency through advanced artificial intelligence driven thermal management techniques
Abstract Photovoltaic Thermal (PV/T) solar systems have the capacity to convert solar
radiation into both electrical and thermal energy. Solar cells convert solar radiation into …
radiation into both electrical and thermal energy. Solar cells convert solar radiation into …
Energy management strategy for plug-in hybrid electric vehicles based on driving condition recognition: a review
C Liu, Y Liu - Electronics, 2022 - mdpi.com
Appropriate energy management strategies (EMSs) have been selected for plug-in hybrid
electric vehicles (PHEVs) based on driving-condition recognition (DCR) according to the …
electric vehicles (PHEVs) based on driving-condition recognition (DCR) according to the …
Artificial neural network for predicting the thermal conductivity of soils based on a systematic database
Thermal conductivity is a significant soil property that affects subsurface temperature
distribution and plays an essential role in geotechnical engineering. Accurate evaluation of …
distribution and plays an essential role in geotechnical engineering. Accurate evaluation of …
[HTML][HTML] Artificial neural networks-based performance and emission characteristics prediction of compression ignition engines powered by blends of biodiesel derived …
Compression ignition engines are essential for power generation, yet the use of fossil fuels
like petrol and diesel results in the emission of harmful toxins into the atmosphere, leading to …
like petrol and diesel results in the emission of harmful toxins into the atmosphere, leading to …
Prediction of cold start emissions for hybrid electric vehicles based on genetic algorithms and neural networks
D Tang, Z Zhang, L Hua, J Pan, Y **ao - Journal of Cleaner Production, 2023 - Elsevier
The emission of hybrid electric vehicles deteriorates during cold start, and it is a cost-
effective method to reduce pollutant emissions during cold start of hybrid electric vehicles …
effective method to reduce pollutant emissions during cold start of hybrid electric vehicles …
Machine learning assisted analysis of an ammonia engine performance
Z Liu, J Liu - Journal of Energy Resources …, 2022 - asmedigitalcollection.asme.org
Currently, the interest in utilizing ammonia in internal combustion engines stems from the
trend toward decarbonization, as ammonia is a zero-carbon footprint fuel. Existing studies …
trend toward decarbonization, as ammonia is a zero-carbon footprint fuel. Existing studies …
Prediction of the transient emission characteristics from diesel engine using temporal convolutional networks
J Liao, J Hu, P Chen, L Zhu, Y Wu, Z Cai, H Wu… - … Applications of Artificial …, 2024 - Elsevier
In order to predict the transient emission characteristics from diesel engine accurately and
quickly, a novel prediction model, based on temporal convolutional networks (TCN) that …
quickly, a novel prediction model, based on temporal convolutional networks (TCN) that …
[HTML][HTML] Application of Bayesian regularization back propagation neural network in sensorless measurement of pump operational state
D Wu, H Huang, S Qiu, Y Liu, Y Wu, Y Ren, J Mou - Energy Reports, 2022 - Elsevier
Under the strategic framework of global carbon emission reduction, it is urgent to reduce the
energy consumption of centrifugal pumps. Monitoring pump's operational states can …
energy consumption of centrifugal pumps. Monitoring pump's operational states can …
[HTML][HTML] Performance and safety of transport vehicles fueled with alternative fuels in plateau environment: A review
W Guo, H Wang, H Chen, B Yu, Y Wang… - Journal of traffic and …, 2022 - Elsevier
Alternative fuels including natural gas, alcohols and biodiesel for transport vehicles have
been applied worldwidely. However, the performance and safety of alternative fuel vehicles …
been applied worldwidely. However, the performance and safety of alternative fuel vehicles …