Spatio-temporal distribution of Chinese cities' air quality and the impact of high-speed rail
Chinese government has set a goal to reach carbon peak and achieve carbon neutrality,
endeavoring to gradually realize net-zero carbon dioxide (CO 2) emission. Moreover, the …
endeavoring to gradually realize net-zero carbon dioxide (CO 2) emission. Moreover, the …
L-SHADE with parameter decomposition for photovoltaic modules parameter identification under different temperature and irradiance
The performance of photovoltaic (PV) system relies on the accurate determination of
unknown parameters in PV models, such as photo-generated current, diode current, and …
unknown parameters in PV models, such as photo-generated current, diode current, and …
Toward safe carbon–neutral transportation: Battery internal short circuit diagnosis based on cloud data for electric vehicles
To promote electrified transportation and achieve carbon neutrality, Li-ion batteries with
excellent energy storage performance are widely adopted in electric vehicles (EVs) …
excellent energy storage performance are widely adopted in electric vehicles (EVs) …
[HTML][HTML] Towards carbon Neutrality: Prediction of wave energy based on improved GRU in Maritime transportation
Z Lv, N Wang, R Lou, Y Tian, M Guizani - Applied Energy, 2023 - Elsevier
Efficient use of renewable energy is one of the critical measures to achieve carbon
neutrality. Countries have introduced policies to put carbon neutrality on the agenda to …
neutrality. Countries have introduced policies to put carbon neutrality on the agenda to …
Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive dam** Berndt-Hall-Hall-Hausman method
A reliable methodology is essential for accurately estimating the parameters of PV models,
enabling reliable performance evaluations, effective control studies, accurate analysis of …
enabling reliable performance evaluations, effective control studies, accurate analysis of …
An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process
L Hua, C Zhang, W Sun, Y Li, J **ong, MS Nazir - ISA transactions, 2023 - Elsevier
Accurate and reliable measurement of key biological parameters during penicillin
fermentation is of great significance for improving penicillin production. In this research …
fermentation is of great significance for improving penicillin production. In this research …
[HTML][HTML] Hybrid multi-group stochastic cooperative particle swarm optimization algorithm and its application to the photovoltaic parameter identification problem
The accurate estimation of model parameters is significant for the simulation, evaluation,
control, and optimization of photovoltaic systems. Recently, meta-heuristic algorithms …
control, and optimization of photovoltaic systems. Recently, meta-heuristic algorithms …
Accurate and generalizable photovoltaic panel segmentation using deep learning for imbalanced datasets
The widespread adoption of photovoltaic (PV) technology for renewable energy
necessitates accurate segmentation of PV panels to estimate installation capacity. However …
necessitates accurate segmentation of PV panels to estimate installation capacity. However …
Wireless power transfer tuning model of electric vehicles with pavement materials as transmission media for energy conservation
Wireless power transfer (WPT) is one of the ways to alleviate the charging difficulties of
electric vehicles, accelerating the growth of ownership of electric vehicles to replace petrol …
electric vehicles, accelerating the growth of ownership of electric vehicles to replace petrol …
A tree seed algorithm with multi-strategy for parameter estimation of solar photovoltaic models
Tree seed algorithm, which is one of the metaheuristics algorithms recently proposed for the
solution of continuous optimization problems, has an effective algorithmic structure inspired …
solution of continuous optimization problems, has an effective algorithmic structure inspired …