A review on lifetime prediction of proton exchange membrane fuel cells system
The proton exchange membrane fuel cells (PEMFC) system is a promising eco-friendly
power converter device in a wide range of applications, especially in the transportation area …
power converter device in a wide range of applications, especially in the transportation area …
[HTML][HTML] Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology
Polymer electrolyte membrane (PEM) fuel cells are electrochemical devices that directly
convert the chemical energy stored in fuel into electrical energy with a practical conversion …
convert the chemical energy stored in fuel into electrical energy with a practical conversion …
A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring
W Ming, P Sun, Z Zhang, W Qiu, J Du, X Li… - International Journal of …, 2023 - Elsevier
A fuel cell is a power generation device that directly converts chemical energy into electrical
energy through chemical reactions; fuel cells are widely used in aerospace, electric vehicle …
energy through chemical reactions; fuel cells are widely used in aerospace, electric vehicle …
Fuel cell electric vehicles—A brief review of current topologies and energy management strategies
With the development of technologies in recent decades and the imposition of international
standards to reduce greenhouse gas emissions, car manufacturers have turned their …
standards to reduce greenhouse gas emissions, car manufacturers have turned their …
Taxonomy research of artificial intelligence for deterministic solar power forecasting
With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …
stochastic and volatile nature of solar power pose significant challenges to the reliable …
A novel adaptive discrete grey model with time-varying parameters for long-term photovoltaic power generation forecasting
S Ding, R Li, Z Tao - Energy Conversion and Management, 2021 - Elsevier
The rapidly growing photovoltaic power generation (PPG) instigates stochastic volatility of
electricity supply that may compromise the power grid's stability and increase the grid …
electricity supply that may compromise the power grid's stability and increase the grid …
Short-term performance degradation prediction of a commercial vehicle fuel cell system based on CNN and LSTM hybrid neural network
B Sun, X Liu, J Wang, X Wei, H Yuan, H Dai - International Journal of …, 2023 - Elsevier
Short-term performance degradation prediction is significant for fuel cell system control and
health management. This paper presents a hybrid deep learning method by combining the …
health management. This paper presents a hybrid deep learning method by combining the …
[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives
Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …
efforts in cleaner power production, advanced energy storages, flexible district energy …
Remaining useful life prediction of PEMFC systems under dynamic operating conditions
Abstract The Prognostic and Health Management (PHM) has been developed for more than
two decades. It is capable to anticipate the impending failures and make decisions in …
two decades. It is capable to anticipate the impending failures and make decisions in …
Evolutionary gate recurrent unit coupling convolutional neural network and improved manta ray foraging optimization algorithm for performance degradation …
Z Tao, C Zhang, J **ong, H Hu, J Ji, T Peng, MS Nazir - Applied Energy, 2023 - Elsevier
Performance degradation prediction is an effective method to improve the durability of
proton exchange membrane fuel cell (PEMFC). In this study, a hybrid deep learning model …
proton exchange membrane fuel cell (PEMFC). In this study, a hybrid deep learning model …