Lynn072

Lynn072's Stars

• larchuto/Battery-Kalman

  A simple and naive battery modelisation + Kalman filter for state of charge (SoC) estimation

  Language:Python7819

• DariusRoman/Machine-learning-pipeline-for-battery-state-of-health-estimation

  Code for "Machine learning pipeline for battery state-of-health estimation"

  Language:Python5318

• parthnakar1/SOC-Estimation-using-Kalman-Filter

  SOC Estimation for LiFPO4 battery using Extended Kalman Filter

  Language:Jupyter Notebook258

• Javihaus/Digital-Twin-in-python

  In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Twin will allow us to model and predict batteries behavior and can be included in any virtual asset management process.

  Language:Jupyter Notebook6630

• PatientEz/CNN-BiLSTM-Attention-Time-Series-Prediction_Keras

  CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

  Language:Python54392

• Lynn072/CNN-LSTM-Attention

  使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.

  1

• JinleiZhangBJTU/ResNet-LSTM-GCN

  Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit

  Language:Python15930

• soham97/Remaining_useful_life_NASA

  RUL Nasa Turbofan Dataset (paper)

  Language:Jupyter Notebook265

• aniket-ak/Battery-SOH-Forecasting

  Language:Jupyter Notebook81

• pwalan/battery

  This is the source code for High Ratio Power Battery project.

  Language:Python4

• standing-o/SoH_estimation_of_Lithium-ion_battery

  State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM

  Language:Jupyter Notebook17943

• aspitarl/corex_dashboard

  A Bokeh app for exploring Corex topic models

  Language:Jupyter Notebook2

• kelen007/BatteryDataSet

  电池数据

  Language:Python31

• anirudhkhatry/SOH-prediction-using-NASA-Dataset

  Language:Jupyter Notebook215

• YJPark0421/LSTM-Analytics-NASA-Battery-LTV-Prediction

  PCoE Li-ion Battery Data Modeling

  Language:Jupyter Notebook223

• arslanbawa/An-estimation-method-for-the-State-Of-Health-SOH-of-lithium-ion-battery-using-ML-Final-Year-Project

  Language:Python42

• XiuzeZhou/NASA

  Analysis for NASA data sets

  Language:Jupyter Notebook11438

• shaoboh/SOH

  锂电池SOH估计算法

  Language:Python185

• Kalrfou/CapstoneProject

  Predicting the RUL of batteries using LSTM.

  Language:Jupyter Notebook3316

• PotatoSpudowski/RUL-and-SOH-estimation-of-Lithium-ion-satellite-power-systems-using-support-vector-regression

  Pipeline to identify remaining useful life of Li-ion batteries using SVR to forecast end of life.

  Language:Jupyter Notebook9721

• psanabriaUC/BatteryDatasetImplementation

  Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset

  Language:Jupyter Notebook9431