machine learning based driving range prediction of electric vehicles
☆16Nov 24, 2020Updated 5 years ago
Alternatives and similar repositories for range_prediction
Users that are interested in range_prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comp…☆31Sep 25, 2019Updated 6 years ago
- Driving Range Prediction and Energy Consumption Rate Deviation Classification using ML Models based on Real Electric Vehicle Data☆51Apr 30, 2024Updated last year
- Driving range prediction by looking at energy consumption rate of Electronic Vehicles using ML regression techniques.☆14Sep 19, 2021Updated 4 years ago
- Optimal travel routing through a network of electric vehicle charging and alternative fuel stations☆16Mar 2, 2023Updated 3 years ago
- Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comp…☆14Mar 5, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Simplified electric vehicle charge optimization based on Hoke (2011).☆14Sep 5, 2020Updated 5 years ago
- Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: …☆20Feb 12, 2021Updated 5 years ago
- ☆10Aug 30, 2021Updated 4 years ago
- Undergraduate Research Project looking into Scheduling Optimization for Electric Vehicle Charging☆12Jun 7, 2013Updated 12 years ago
- Predicting Electric Vehicle Charging Station Locations in the US☆10Sep 10, 2021Updated 4 years ago
- A bunch of crawlers for extracting data from various sites (site name is mentioned for each one)☆11May 2, 2024Updated last year
- Physics informed, deep-learning-based state estimation for distribution electrical grids. The study proposes using physical properties of…☆28Mar 24, 2023Updated 3 years ago
- dc数据竞赛 汽车出行预测☆10Dec 12, 2018Updated 7 years ago
- ☆21Nov 26, 2025Updated 4 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data☆10Nov 26, 2018Updated 7 years ago
- An Electric Vehicle Routing Problem with limited charging capacity at stations☆12Mar 10, 2019Updated 7 years ago
- A Machine Learning Case Study to predict the Demand of Yellow Taxi in New York City at given location and at a given time interval.☆13Nov 19, 2018Updated 7 years ago
- program that uses reinforced q-learning to come up with optimal electric vehicle charging schedule based on user's driving habits☆12Feb 16, 2020Updated 6 years ago
- Reinforcement Learning for Energy Imbalance Management using Voltage Control on TCLs☆12Jan 4, 2020Updated 6 years ago
- reinforcement learning for voltage control☆11Apr 2, 2019Updated 7 years ago
- 复刻论文Applied Energy的论文A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles, 包含考虑电动汽车有序充放电的机组组合和最…☆100Nov 13, 2020Updated 5 years ago
- python课程资料下载☆13Aug 31, 2020Updated 5 years ago
- EVQUARIUM is an evaluation tool that quantifies the accessibility of EV charging station locations using queueing and graph theory. Given…☆23Mar 1, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This repo contains the MATLAB code for component sizing of a battery electric vehicle (BEV) powertrain. This involves sizing the motor to…☆12Mar 13, 2021Updated 5 years ago
- Scripts for a university project, a simple centralized smart grid energy cost minimization problem.☆14Mar 23, 2021Updated 5 years ago
- Ev charging station demand Prediction for integration with microgrid optimization☆21Mar 31, 2020Updated 6 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆19Jan 9, 2022Updated 4 years ago
- Using LSTM networks to predict demand per location in Manhattan.☆15Mar 6, 2021Updated 5 years ago
- Choosing the optimal location and size of distributed generation sources based on renewable energies in the micro-grid☆17May 6, 2019Updated 6 years ago
- Repository with Smart Grid simulation code☆16Jul 21, 2019Updated 6 years ago
- The code for my Master's thesis in Mechanical Engineering at MIT, completed in 2012. The project was about simulating performance of plu…☆20Mar 14, 2015Updated 11 years ago
- Network Reconfiguration in weakly Meshed Distribution System using Particle Swarm Optimization Technique.☆12Oct 10, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Smart Grid simulation for energy efficiency using renovable energy☆18Jul 17, 2016Updated 9 years ago
- UCLA, Smart charging, minimize load variance, Particle Swarm Optimization☆22Dec 7, 2019Updated 6 years ago
- Utilizing dynamic programming, I optimally schedule electric battery usage for a plug-in hybrid electric vehicle to minimize fuel consump…☆47Jan 17, 2019Updated 7 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- Distributed RL Algorithms for Dynamic Energy Pricing in Microgrids☆18Jun 7, 2021Updated 4 years ago
- Multi-Objective Reinforcement Learning sandbox☆12Dec 20, 2021Updated 4 years ago
- The goal of this project is to build a simulation model to determine the largest expected revenue from an electric vehicle charging stati…☆20Oct 4, 2021Updated 4 years ago