BUILTNYU / EVQUARIUMView external linksLinks
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.
☆19Oct 28, 2025Updated 3 months ago
Alternatives and similar repositories for EVQUARIUM
Users that are interested in EVQUARIUM are comparing it to the libraries listed below
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
- ☆10Jun 22, 2021Updated 4 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 7 years ago
- Data is stored in .csv files and plotted using python☆15Jan 23, 2021Updated 5 years ago
- An Electric Vehicle Routing Problem with limited charging capacity at stations☆12Mar 10, 2019Updated 6 years ago
- ⚡ A simulation of finding the shortest charging routes for electric vehicle fleets using ant colony optimization.☆19Feb 2, 2023Updated 3 years ago
- Ev charging station demand Prediction for integration with microgrid optimization☆20Mar 31, 2020Updated 5 years ago
- HIVE™ is a mobility services research platform☆26Nov 6, 2023Updated 2 years ago
- Repository for electric vehicle charge scheduling with a fully-observable Markov Decision Process☆17Dec 8, 2022Updated 3 years ago
- ☆18Aug 3, 2019Updated 6 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
- 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
- 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…☆95Nov 13, 2020Updated 5 years ago
- Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction☆23Oct 31, 2021Updated 4 years ago
- Optimisation model for determining optimal location of electric vehicle charging stations as to maximise electric vehicle adoption☆30Aug 4, 2023Updated 2 years ago
- Simulation Program for Individual Charging Events of Electric Vehicles☆30Feb 2, 2026Updated last week
- ☆10Jan 19, 2017Updated 9 years ago
- 🐍 The official Python client library for <geosys/> APIs.☆12Oct 15, 2024Updated last year
- A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.☆227Oct 28, 2025Updated 3 months ago
- 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
- Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions☆27Jul 25, 2025Updated 6 months ago
- Multiobjective Based Large-Scale Electric Vehicle Charging Behaviours Analysis☆33Apr 28, 2020Updated 5 years ago
- Electric Vehicle Routing Problem☆33Mar 31, 2021Updated 4 years ago
- ☆35Nov 6, 2024Updated last year
- This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data…☆14Aug 15, 2020Updated 5 years ago
- Data Analysis of EV charging Dataset by Elaad NL☆11May 16, 2024Updated last year
- 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
- Gurobi,GA,SA,PSO☆19Nov 18, 2019Updated 6 years ago
- QuESt Planning is a long-term power system capacity expansion planning model that identifies cost-optimal energy storage, generation, and…☆14Feb 4, 2026Updated last week
- My personal website☆10Jun 27, 2019Updated 6 years ago
- optimizing locations of electric vehicle charging stations in the city of Toronto☆33Dec 4, 2022Updated 3 years ago
- Use multi-agent ReinForcement Learning on mobile crowd sensing.☆12Sep 30, 2021Updated 4 years ago
- Energy storage and conversion systems☆10Aug 27, 2020Updated 5 years ago
- Fast-paced hack sessions focused on play, exploration, and the rapid acquisition of skills.☆13Dec 2, 2016Updated 9 years ago
- 使用CC2530单片机实现数据上传和远程控制的功能。大概流程如下:终端采集数据无线发送到协调器,协调器再将数据上传到OneNET云平台,在云平台上可以下发命令控制LED灯。更详细内容请看:http://t.csdn.cn/fB32X☆13Apr 10, 2022Updated 3 years ago
- Find optimal path for electric vehicle using spatial information.☆11Apr 1, 2023Updated 2 years ago