EVQUARIUM is an evaluation tool that quantifies the accessibility of EV charging station locations using queueing and graph theory. Given a zonal distribution of EVs with access times to charging stations, it outputs the access patterns and social impacts under equilibrium.
☆22Mar 1, 2026Updated 3 weeks ago
Alternatives and similar repositories for EVQUARIUM
Users that are interested in EVQUARIUM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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 5 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
- Electric Vehicle Assisted Charging (EVAC) - Recommending the best locations for implementing electric vehicle charging infrastructure☆17Apr 14, 2022Updated 3 years ago
- ☆13Feb 14, 2022Updated 4 years ago
- An Electric Vehicle Routing Problem with limited charging capacity at stations☆12Mar 10, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- The python code generated random demands of random EV vehicles and household electricity demands. It then plots the graphs between earlie…☆25Jul 26, 2018Updated 7 years ago
- Data is stored in .csv files and plotted using python☆17Jan 23, 2021Updated 5 years ago
- EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of EV Charging Infrastructure. Link to publication: https:…☆26Apr 19, 2024Updated last year
- Ev charging station demand Prediction for integration with microgrid optimization☆21Mar 31, 2020Updated 5 years ago
- ⚡ A simulation of finding the shortest charging routes for electric vehicle fleets using ant colony optimization.☆20Feb 2, 2023Updated 3 years ago
- 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
- 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…☆96Nov 13, 2020Updated 5 years ago
- UCLA, Smart charging, minimize load variance, Particle Swarm Optimization☆22Dec 7, 2019Updated 6 years ago
- ☆17Oct 28, 2021Updated 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 and start building anything your business needs.
- 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
- Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction☆23Oct 31, 2021Updated 4 years ago
- Repository for electric vehicle charge scheduling with a fully-observable Markov Decision Process☆17Dec 8, 2022Updated 3 years ago
- Conic relaxations of the optimal power flow problem☆25May 2, 2022Updated 3 years ago
- ☆18Aug 3, 2019Updated 6 years ago
- Undergraduate Research Project looking into Scheduling Optimization for Electric Vehicle Charging☆12Jun 7, 2013Updated 12 years ago
- HIVE™ is a mobility services research platform☆26Nov 6, 2023Updated 2 years ago
- Optimal travel routing through a network of electric vehicle charging and alternative fuel stations☆16Mar 2, 2023Updated 3 years ago
- Simulation Program for Individual Charging Events of Electric Vehicles☆30Feb 2, 2026Updated last month
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Implementation of the paper "A coordinated charging scheduling method for electric vehicles considering different charging demands"☆29Mar 28, 2022Updated 4 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
- 🐍 The official Python client library for <geosys/> APIs.☆12Oct 15, 2024Updated last year
- Optimisation model for determining optimal location of electric vehicle charging stations as to maximise electric vehicle adoption☆30Aug 4, 2023Updated 2 years ago
- A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.☆231Oct 28, 2025Updated 5 months ago
- Multiobjective Based Large-Scale Electric Vehicle Charging Behaviours Analysis☆33Apr 28, 2020Updated 5 years ago
- dc数据竞赛 汽车出行预测☆10Dec 12, 2018Updated 7 years ago
- Selected Online Courses☆14Jan 15, 2020Updated 6 years ago
- ☆15Mar 12, 2026Updated 2 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Python library for learning and verification of neural networks and other machine learning models☆14Sep 18, 2025Updated 6 months ago
- Scheduling Strategy of Electric Vehicle Charging Considering Different Requirements of Power Grid and Users☆10Apr 16, 2021Updated 4 years ago
- ☆35Nov 6, 2024Updated last year
- The implementation of Meta-Pec☆12Sep 13, 2023Updated 2 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
- 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
- Find optimal path for electric vehicle using spatial information.☆11Apr 1, 2023Updated 2 years ago