Advances in sparrow search algorithm: a comprehensive survey
FS Gharehchopogh, M Namazi, L Ebrahimi… - … Methods in Engineering, 2023 - Springer
Mathematical programming and meta-heuristics are two types of optimization methods. Meta-
heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural …
heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural …
Data-driven-aided strategies in battery lifecycle management: prediction, monitoring, and optimization
Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …
entails a variety of complex variables as well as unpredictability in given conditions. Data …
[HTML][HTML] Battery SOH estimation method based on gradual decreasing current, double correlation analysis and GRU
C Zhang, L Luo, Z Yang, S Zhao, Y He, X Wang… - Green Energy and …, 2023 - Elsevier
In intelligent lithium-ion battery management, the state of health (SOH) of battery is essential
for the batteries' running in electric vehicles. Popularly, the battery SOH is estimated by …
for the batteries' running in electric vehicles. Popularly, the battery SOH is estimated by …
A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning …
A Meng, Z Zhu, W Deng, Z Ou, S Lin, C Wang, X Xu… - Energy, 2022 - Elsevier
With the increasing proportion of wind power, effective wind power prediction plays a vital
role in the stable operation and safety management of power systems. Most studies focus …
role in the stable operation and safety management of power systems. Most studies focus …
State of health and remaining useful life prediction of lithium-ion batteries based on a disturbance-free incremental capacity and differential voltage analysis method
F Xia, K Wang, J Chen - Journal of Energy Storage, 2023 - Elsevier
State of health (SOH) and remaining useful life (RUL) prediction are crucial for battery
management systems (BMS). However, accurate SOH and RUL prediction still need to be …
management systems (BMS). However, accurate SOH and RUL prediction still need to be …
Research on the potential for China to achieve carbon neutrality: A hybrid prediction model integrated with elman neural network and sparrow search algorithm
M Yang, Y Liu - Journal of Environmental Management, 2023 - Elsevier
China's carbon reduction is of substantial significance in combating global climate change.
In the context of the COVID-19 epidemic hit and economic and social development …
In the context of the COVID-19 epidemic hit and economic and social development …
Advancements in Artificial Neural Networks for health management of energy storage lithium-ion batteries: A comprehensive review
Lithium-ion batteries, growing in prominence within energy storage systems, necessitate
rigorous health status management. Artificial Neural Networks, adept at deciphering …
rigorous health status management. Artificial Neural Networks, adept at deciphering …
Multi-step ahead wind speed forecasting approach coupling maximal overlap discrete wavelet transform, improved grey wolf optimization algorithm and long short …
Y Li, T Peng, C Zhang, W Sun, L Hua, C Ji… - Renewable Energy, 2022 - Elsevier
Accurate and reliable wind speed forecasting is of great significance to the management
and utilization of wind energy. An improved deep learning model for wind speed forecasting …
and utilization of wind energy. An improved deep learning model for wind speed forecasting …
State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking …
Y Zhang, Y Wang, C Zhang, X Qiao, Y Ge, X Li, T Peng… - Applied Energy, 2024 - Elsevier
Accurate estimation of State of Health (SOH) is crucial to ensure optimal performance and
safe operation of lithium-ion battery. This paper proposes a Stacking ensemble learning …
safe operation of lithium-ion battery. This paper proposes a Stacking ensemble learning …
A literature review and critical analysis of metaheuristics recently developed
Metaheuristic algorithms have applicability in various fields where it is necessary to solve
optimization problems. It has been a common practice in this field for several years to …
optimization problems. It has been a common practice in this field for several years to …