A deep feature learning method for remaining useful life prediction of drilling pumps

J Guo, JL Wan, Y Yang, L Dai, A Tang, B Huang… - Energy, 2023 - Elsevier
Abstract Remaining Useful Life (RUL) prediction of drilling pumps, pivotal components in
fossil energy production, is essential for efficient maintenance and safe operation of such …

Research progress on data-driven methods for battery states estimation of electric buses

D Zhao, H Li, F Zhou, Y Zhong, G Zhang, Z Liu… - World Electric Vehicle …, 2023 - mdpi.com
Battery states are very important for the safe and reliable use of new energy vehicles. The
estimation of power battery states has become a research hotspot in the development of …

Deep dive into hybrid networks: A comparative study and novel architecture for efficient power prediction

N Khan, SU Khan, SW Baik - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
The prediction of electric power consumption (PC) and power generation (PG) plays an
important role in the management, trading, and storage of energy, and in saving resources …

Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural network

A Tang, Y Jiang, Y Nie, Q Yu, W Shen, MG Pecht - Energy, 2023 - Elsevier
With the continuous concern on the safety of battery systems, accurate and rapid
assessment of battery degradation is essential for practical applications. In this paper, a …

Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter

H Pang, K Chen, Y Geng, L Wu, F Wang, J Liu - Energy, 2024 - Elsevier
Accurate prediction of capacity and remaining useful life (RUL) for lithium-ion batteries
(LIBs) is crucial for ensuring safe and reliable operation of electric vehicles. However, the …

Spatial and temporal variation of ecological quality in northeastern China and analysis of influencing factors

X Zhang, W Jia, J He - Journal of Cleaner Production, 2023 - Elsevier
Ecological quality and its potential influencing factors are important contents of ecological
security in Northeast China. Maintaining ecological security in Northeast China is of great …

An improved dung beetle optimizer-hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on …

T Zhu, S Wang, Y Fan, N Hai, Q Huang, C Fernandez - Energy, 2024 - Elsevier
Accurate prediction of the state of health (SOH) of lithium-ion batteries is important for real-
time monitoring and safety control of lithium-ion batteries. In this paper, a hybrid kernel least …

A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data …

X Zheng, S Zhou, T ** - Energy, 2023 - Elsevier
Faced with the growing renewable energy requirements, there is increased interest in cross-
region of large-scale renewable energy market, which provides an alternative path for …

Stacking integrated learning model via ELM and GRU with mixture correntropy loss for robust state of health estimation of lithium-ion batteries

J Xue, W Ma, X Feng, P Guo, Y Guo, X Hu, B Chen - Energy, 2023 - Elsevier
Accurate estimation of the state of health (SOH) is crucial for the safe and stable operation of
lithium-ion batteries. However, since the labeled values may contain non-Gaussian noise …

SOH estimation for lithium-ion batteries: an improved GPR optimization method based on the developed feature extraction

Y He, W Bai, L Wang, H Wu, M Ding - Journal of Energy Storage, 2024 - Elsevier
Accurate estimation of the State of Health (SOH) for lithium-ion batteries is necessary for the
stable operation of the battery system. To accurately estimate the SOH for lithium-ion …