mongodb-industry-solutions / vehicle-digital-twin-feedback-loopLinks
In this repository you'll find everything you need to get started in creating a Digital Twin with MongoDB and AWS. More specifically, you'll find code samples and demos using MongoDB Atlas, Ditto and Amazon SageMaker.
☆23Updated 2 weeks ago
Alternatives and similar repositories for vehicle-digital-twin-feedback-loop
Users that are interested in vehicle-digital-twin-feedback-loop are comparing it to the libraries listed below
Sorting:
- This Guidance demonstrates how to use historical battery health data with artificial intelligence and machine learning (AI/ML) algorithms…☆24Updated 7 months ago
- This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Re…☆35Updated 2 years ago
- ☆35Updated last year
- This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and…☆27Updated 2 years ago
- A chatbot powered by CrateDB using RAG techniques and data from PDF files.☆16Updated 3 months ago
- Smart City project - Forecasting and optimizing HVAC system parameters in a large public building.☆12Updated 2 years ago
- Model Predictive Control for optimal battery operation☆17Updated 2 years ago
- 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 Tw…☆85Updated 4 months ago
- Fuhrländer FL2500 2.5MW wind turbine dataset + pre-processing functions R MATLAB☆15Updated last year
- This is a project to forecast Fuel Cell Performance☆15Updated 3 years ago
- Digital Twin of an Induction Motor: Fault Analysis and Predictive Maintenance☆16Updated last year
- Data Center Environment and Reinforcement Learning (RL) Control☆16Updated last year
- This project aims to build a streaming application to perform real-time analytics of Covid-19 related tweets and deploy an ML model for r…☆13Updated 3 years ago
- This submission demonstrates modeling and simulation of a Two-Zone MVDC electric ship in Simscape Electrical, and considers modeling con…☆10Updated 2 years ago
- Digital twin with Python☆42Updated 3 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆62Updated 2 years ago
- Implementation of Paper 'Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning' by…☆12Updated 4 years ago
- Battery charging schedule optimization to minimize lithium-ion battery degradation.☆18Updated 2 years ago
- ☆9Updated 2 years ago
- Deep reinforcement learning-based control of room temperature and bidirectional EV charging☆13Updated 3 years ago
- ☆14Updated last year
- We compare model-free and model-based methods in the context of battery control.☆10Updated 10 months ago
- Official implementation of Enhanced Gaussian Process Dynamical Modeling for Battery Health Status Forecasting.☆16Updated 5 months ago
- A framework for building predictive modeling applications☆38Updated 2 years ago
- Example use cases for Atlas App Services☆34Updated last year
- Long Short Term Memory(LSTM)☆35Updated 4 years ago
- The workshop is designed to foster an enabling environment for individuals to build competence in the Edge Computing space.☆13Updated last year
- ☆32Updated 4 years ago
- Time-series modeling project that predicts the future number of electric vehicles in Washington state counties to identify locations with…☆16Updated 3 years ago
- ☆12Updated 4 years ago