ace-roger's Stars
mjhea0/awesome-fastapi
A curated list of awesome things related to FastAPI
pybamm-team/PyBaMM
Fast and flexible physics-based battery models in Python
iusztinpaul/energy-forecasting
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
zhouhaoyi/ETDataset
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
makinarocks/awesome-industrial-machine-datasets
Coder-World04/Time-Series-Analysis-and-Forecasting
This repository contains everything you need to become proficient in Time Series Analysis and Forecasting
XiuzeZhou/RUL
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
mattharrison/effective_xgboost_book
biswajitsahoo1111/rul_codes_open
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
KeiLongW/battery-state-estimation
Estimation of the State of Charge (SOC) of Lithium-ion batteries using Deep LSTMs.
kokikwbt/predictive-maintenance
Datasets for Predictive Maintenance
sachinkumar1609/SQL-Portfolio-Projects
This Repo Contain Awesome SQL Project
sautee/battery-state-of-charge-estimation
Predict battery state of charge (SOC) using machine learning + Streamlit web app.
petermattia/predicting-battery-lifetime
Predicting battery lifetime. cs229 final project, Fall 2018
migushu/Electric-vehicle-battery-range-prediction
Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).
villekr/ocpp-asgi
ocpp-asgi extends ocpp library to provide ASGI compliant interface for implementing OCPP Central System.
KeiLongW/synthetic-battery-data
Generation of synthetic battery operation data using a generative adversarial network (GAN) and a state-of-charge (SOC) estimator.
aws-solutions-library-samples/guidance-for-electric-vehicle-battery-health-prediction-on-aws
This Guidance demonstrates how to use historical battery health data with artificial intelligence and machine learning (AI/ML) algorithms to improve the accuracy of battery State of Health (SoH) and Remaining Useful Life (RUL) estimations.
0xOmarA/DjangoOCPP
A feature-complete Django based implementation of an OCPP 1.6J central server used to monitor, command, and control OCPP 1.6 compatible EV chargers connected to it.
NREL/PyChargeModel
NOWUM/pyOCPI
villekr/ocpp-serverless-example
Project to brainstorm how OCPP message handling could be done in event based and serverless faction using [mobilityhouse/ocpp](https://github.com/mobilityhouse/ocpp) library.
nav-e/machine-learning
A research repository for source code that implements machine learning methods to solve tasks related to navigation within the Greennav project
Kalyan-Koppula/EV-range-prediction-and-route-planning
AradhnaSingh/Battery_useful_life_Analysis
KeiLongW/battery-rul-estimation
Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Abirami-111/Electric-vehicle-range-analysis
T. Abirami & Team
KeiLongW/tts-gan
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
NOWUM/pyoscp
NOWUM/smartdso