Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction
☆24Oct 31, 2021Updated 5 years ago
Alternatives and similar repositories for EVDPEP
Users that are interested in EVDPEP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Driving range prediction by looking at energy consumption rate of Electronic Vehicles using ML regression techniques.☆15Sep 19, 2021Updated 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
- ☆16Oct 28, 2021Updated 5 years ago
- Simplified electric vehicle charge optimization based on Hoke (2011).☆14Sep 5, 2020Updated 6 years ago
- An exploration of the Extended Vehicle Energy Dataset☆12Mar 21, 2026Updated 7 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Driving Range Prediction and Energy Consumption Rate Deviation Classification using ML Models based on Real Electric Vehicle Data☆53Apr 30, 2024Updated 2 years ago
- Optimisation model for determining optimal location of electric vehicle charging stations as to maximise electric vehicle adoption☆32Aug 4, 2023Updated 3 years ago
- In this Project Scheduling of Electric Vehicle is done through various algorithm . the main motive to fulfill user’s and charging Station…☆10May 2, 2022Updated 4 years ago
- optimizing locations of electric vehicle charging stations in the city of Toronto☆33Dec 4, 2022Updated 3 years ago
- Repository for electric vehicle charge scheduling with a fully-observable Markov Decision Process☆17Dec 8, 2022Updated 3 years ago
- Data for paper "Bilevel Optimal Coordination of Active Distribution Network and Charging Stations Considering EV Drivers’ Responsivity"☆11Oct 11, 2026Updated 3 weeks ago
- Ev charging station demand Prediction for integration with microgrid optimization☆21Mar 31, 2020Updated 6 years ago
- data for Multistep Electric Vehicle Charging Station Occupancy Prediction using Mixed-LSTM Neural Networks☆33Sep 7, 2025Updated last year
- Use RL to balance the electrical power grid with electric vehicle fleets☆21May 3, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Energy-efficient powertrain control of hybrid vehicles through traffic jams☆15Aug 16, 2019Updated 7 years ago
- Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks☆13Jun 10, 2023Updated 3 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
- Machine Learning based model to predict power demand in charging station for electric vehicles.☆11Mar 28, 2023Updated 3 years ago
- The python code generated random demands of random EV vehicles and household electricity demands. It then plots the graphs between earlie…☆25Jul 26, 2018Updated 8 years ago
- This repository contains a Python Script and a SUMO configuration (.sumocfg) file. On running the Python Script, you are asked to input a…☆11Jun 23, 2020Updated 6 years ago
- Home Energy Management System for Small Prosumers Considering Electric Vehicle Load Scheduling☆35Jul 21, 2019Updated 7 years ago
- Code for Bi-level Convex Optimization of Eco-driving for Connected Fuel Cell Hybrid Electric Vehicles Through Signalized Intersections☆64Apr 12, 2022Updated 4 years ago
- electrical vehicle☆42Jul 25, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…☆31Nov 21, 2022Updated 3 years ago
- The implementation of Meta-Pec☆14Sep 13, 2023Updated 3 years ago
- MPC Project☆30Apr 26, 2020Updated 6 years ago
- An extended version of the VED dataset, which is a large-scale dataset for vehicle energy analysis.☆16Oct 14, 2025Updated last year
- [IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.☆103Oct 7, 2022Updated 4 years ago
- Multiobjective Based Large-Scale Electric Vehicle Charging Behaviours Analysis☆33Apr 28, 2020Updated 6 years ago
- Electric Vehicle Routing Problem☆33Mar 31, 2021Updated 5 years ago
- This project leverages reinforcement learning to optimize electric vehicle (EV) charging schedules. By analyzing historical charging data…☆15Aug 11, 2024Updated 2 years ago
- This repository contains code related to solving and visualizing the Bi-Directional Electric Vehicle Routing Problem (B-EVRP) as well as …☆17Apr 1, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The python codes implement the EV charging problem as static and dynamic optimization problem. The optimizers try to maximize the revenue…☆15Jun 18, 2016Updated 10 years ago
- Predicting Electric Vehicle Charging Station Locations in the US☆10Sep 10, 2021Updated 5 years ago
- Using electric vehicle charging data, I explore when drivers are likely to plug in their cars, and how much additional electricity demand…☆16Jul 27, 2020Updated 6 years ago
- This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under condit…☆56Apr 11, 2022Updated 4 years ago
- Electric Vehicle Market Segmentation Analysis in India☆17May 14, 2025Updated last year
- ☆10Jun 30, 2020Updated 6 years ago
- This project develops an optimal scheduling algorithm to minimize the total cost for charging and discharging of electric vehicles.☆78Sep 27, 2016Updated 10 years ago