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.
☆23Mar 1, 2026Updated last month
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 4 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
- 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.
- Predicting Electric Vehicle Charging Station Locations in the US☆10Sep 10, 2021Updated 4 years ago
- ☆11Jun 22, 2021Updated 4 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 2 years ago
- Ev charging station demand Prediction for integration with microgrid optimization☆21Mar 31, 2020Updated 6 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…☆100Nov 13, 2020Updated 5 years ago
- ☆17Oct 28, 2021Updated 4 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
- 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.
- Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction☆24Oct 31, 2021Updated 4 years ago
- Conic relaxations of the optimal power flow problem☆25May 2, 2022Updated 3 years ago
- Official implementation of CoNSAL for analytical Lyapunov function discovery☆11Jun 26, 2024Updated last year
- ☆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☆25Nov 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
- 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
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 🐍 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.☆240Oct 28, 2025Updated 5 months ago
- ☆12Aug 29, 2022Updated 3 years 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
- Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions☆27Feb 27, 2026Updated last month
- Scheduling Strategy of Electric Vehicle Charging Considering Different Requirements of Power Grid and Users☆10Apr 16, 2021Updated 5 years 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.
- A Python library for learning and verification of neural networks and other machine learning models☆14Sep 18, 2025Updated 7 months ago
- optimizing locations of electric vehicle charging stations in the city of Toronto☆33Dec 4, 2022Updated 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
- OpenAI-gym-like Reinforcement Learning environment for Dispatching of Mobile Chargers with SUMO. Compatible with Gym and popular RL libra…☆15Mar 16, 2025Updated last year
- Scientific drawing☆12May 18, 2024Updated last year
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆10Apr 18, 2021Updated 5 years ago
- Developing LLM applications for power systems☆46Jan 21, 2024Updated 2 years ago