Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: numpy, pandas, matplotlib, seaborn
☆20Feb 12, 2021Updated 5 years ago
Alternatives and similar repositories for Electric-Vehicles-EVs-Energy-Consumption-Estimation
Users that are interested in Electric-Vehicles-EVs-Energy-Consumption-Estimation 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 4 years ago
- Driving Range Prediction and Energy Consumption Rate Deviation Classification using ML Models based on Real Electric Vehicle Data☆52Apr 30, 2024Updated 2 years ago
- Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction☆24Oct 31, 2021Updated 4 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
- Electric Vehicle Assisted Charging (EVAC) - Recommending the best locations for implementing electric vehicle charging infrastructure☆17Apr 14, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- optimizing locations of electric vehicle charging stations in the city of Toronto☆33Dec 4, 2022Updated 3 years ago
- Scheduling Strategy of Electric Vehicle Charging Considering Different Requirements of Power Grid and Users☆10Apr 16, 2021Updated 5 years ago
- Ev charging station demand Prediction for integration with microgrid optimization☆21Mar 31, 2020Updated 6 years ago
- Electric Vehicle Routing Problem☆33Mar 31, 2021Updated 5 years ago
- Repository for electric vehicle charge scheduling with a fully-observable Markov Decision Process☆17Dec 8, 2022Updated 3 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
- An analysis of electric vehicle charging times given usage data☆12Oct 6, 2016Updated 9 years ago
- Data is stored in .csv files and plotted using python☆17Jan 23, 2021Updated 5 years ago
- ☆46Jun 21, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Rule based strategy for energy management of Hybrid Electric Vehicle in Simulink☆40Jul 5, 2020Updated 6 years ago
- Predicting Electric Vehicle Charging Station Locations in the US☆10Sep 10, 2021Updated 4 years ago
- 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
- Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…☆30Nov 21, 2022Updated 3 years ago
- This is a paper implementation of IEEE TRANSACTIONS ON SMART GRID, VOL. 5, NO. 6, NOVEMBER 2014 on Electric Vehicle Charging Station Plac…☆21Sep 23, 2019Updated 6 years ago
- An extended version of the VED dataset, which is a large-scale dataset for vehicle energy analysis.☆15Oct 14, 2025Updated 10 months ago
- ☆16Oct 28, 2021Updated 4 years ago
- data for Multistep Electric Vehicle Charging Station Occupancy Prediction using Mixed-LSTM Neural Networks☆33Sep 7, 2025Updated 11 months ago
- Python code backing WRI technical note "Simulator to Quantify and Manage Electric Vehicle Load Impacts on Low-voltage Distribution Grids"☆11Jan 22, 2021Updated 5 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.
- Complementary Jupyter notebooks for load forecasting tutorial.☆12May 28, 2020Updated 6 years ago
- ☆62Dec 17, 2024Updated last year
- This is the final project I wrote for my Matlab class that involved interpreting and outputting real-time data. We took weather measureme…☆20Nov 6, 2015Updated 10 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
- Use RL to balance the electrical power grid with electric vehicle fleets☆21May 3, 2019Updated 7 years ago
- Optimisation model for determining optimal location of electric vehicle charging stations as to maximise electric vehicle adoption☆30Aug 4, 2023Updated 3 years ago
- Monte Carlo simulation of electricity demand for electric vehicles in UK☆12Aug 5, 2019Updated 7 years ago
- An Electric Vehicle Routing Problem with limited charging capacity at stations☆12Mar 10, 2019Updated 7 years ago
- Implementation of the paper "A coordinated charging scheduling method for electric vehicles considering different charging demands"☆30Mar 28, 2022Updated 4 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.
- Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks☆13Jun 10, 2023Updated 3 years ago
- Code for experiments related to pricing EV charging services.☆10Dec 8, 2022Updated 3 years ago
- Model Nissan Leaf in MATLAB Simulink to plot the Wheel Torque, Wheel Speed, Motor Torque, Motor Speed and Battery Current☆20May 7, 2021Updated 5 years ago
- Optimal travel routing through a network of electric vehicle charging and alternative fuel stations☆16Mar 2, 2023Updated 3 years ago
- Home Energy Management System for Small Prosumers Considering Electric Vehicle Load Scheduling☆35Jul 21, 2019Updated 7 years ago
- Time-series modeling project that predicts the future number of electric vehicles in Washington state counties to identify locations with…☆17Jul 30, 2021Updated 5 years ago
- machine learning based driving range prediction of electric vehicles☆20Nov 24, 2020Updated 5 years ago