A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF
Lithium-ion batteries have become the fastest-growing energy storage equipment available
for extrinsic and intrinsic reasons. State of Charge (SOC) is one of the lithium-ion batteries' …
for extrinsic and intrinsic reasons. State of Charge (SOC) is one of the lithium-ion batteries' …
A review of recent developments in the application of machine learning in solar thermal collector modelling
M Vakili, SA Salehi - Environmental Science and Pollution Research, 2023 - Springer
Over the past few decades, the popularity of solar thermal collectors has increased
dramatically because of many significant advantages like being a free, natural …
dramatically because of many significant advantages like being a free, natural …
Enhanced group method of data handling (GMDH) for permeability prediction based on the modified Levenberg Marquardt technique from well log data
AK Mulashani, C Shen, BM Nkurlu, CN Mkono… - Energy, 2022 - Elsevier
Permeability is the key variable for reservoir characterization used for estimating the flow
patterns and volume of hydrocarbons. Modern computer advancement has highlighted the …
patterns and volume of hydrocarbons. Modern computer advancement has highlighted the …
Detection of power swing and blocking the distance relay using the variance calculation of the current sampled data
Power swings appear as a result of sudden addition or removal of heavy loads, switching,
cutoff of a parallel line, and reclosing. These swings can affect the protective zones of …
cutoff of a parallel line, and reclosing. These swings can affect the protective zones of …
An overview of power swing detection methods in distance relays and the factors involved
Nowadays, due to the simplicity of operation and proper coordination characteristics,
distance relays are being extensively used in the protection of power transmission lines …
distance relays are being extensively used in the protection of power transmission lines …
A new power swing detection method in power systems with large‐scale wind farms based on modified empirical‐mode decomposition method
High energy consumption around the world and concerns over climate change and high
greenhouse gas emissions have led to a significant increase in using renewable energy …
greenhouse gas emissions have led to a significant increase in using renewable energy …
State-of-charge estimation of sodium-ion batteries: A fusion deep learning approach
Sodium-ion batteries (SIBs) have shown great promise as an alternative to lithium-ion
batteries (LIBs) due to abundant sodium resources. Accurate and universal state of charge …
batteries (LIBs) due to abundant sodium resources. Accurate and universal state of charge …
[HTML][HTML] Traffic flow Modelling of Vehicles on a Six lane Freeway: Comparative Analysis of Improved Group method of Data Handling and Artificial Neural Network …
In recent decades, traffic flow modelling has become increasingly significant for improving
road transportation systems and mitigating congestion on freeways. This research presents …
road transportation systems and mitigating congestion on freeways. This research presents …
Advanced Permeability Prediction Through Two-Dimensional Geological Feature Image Extraction with CNN Regression from Well Logs Data
The evaluation of permeability plays an essential role in understanding subsurface fluid
behavior, optimizing hydrocarbon recovery, managing reservoir performance, and …
behavior, optimizing hydrocarbon recovery, managing reservoir performance, and …
An advanced transmission line protection algorithm to detect power swing and fault using speedy wavelet
SM Akolkar, HR Jariwala - Iranian Journal of Science and Technology …, 2022 - Springer
Power swings are short frequency transients which occur in power system due to line faults
and load fluctuations. In the presence of power swings, impedance calculated by distance …
and load fluctuations. In the presence of power swings, impedance calculated by distance …