CHARGED is a city-scale and harmonized dataset for global electric vehicle charging demand analysis.
☆48Jul 19, 2025Updated 8 months ago
Alternatives and similar repositories for CHARGED
Users that are interested in CHARGED are comparing it to the libraries listed below
Sorting:
- V2Sim PDN-UTN Simulator for V2G☆39Mar 2, 2026Updated 2 weeks ago
- Accompanying scripts and models for paper "Transfer learning strategies for solar power1 forecasting under data scarcity"☆20Apr 20, 2022Updated 3 years ago
- ChatEV: Predicting electric vehicle charging demand as natural language processing☆56May 17, 2025Updated 10 months ago
- A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.☆230Oct 28, 2025Updated 4 months ago
- This repository includes code for the paper "Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networ…☆14Mar 5, 2025Updated last year
- Spatial Data Analysis with High Performance Computing (HPC)☆10Oct 8, 2025Updated 5 months ago
- ☆17Sep 12, 2024Updated last year
- Driving range prediction by looking at energy consumption rate of Electronic Vehicles using ML regression techniques.☆14Sep 19, 2021Updated 4 years ago
- A spatial optmization library for covering problems.☆16Nov 17, 2023Updated 2 years ago
- ☆12Jun 8, 2023Updated 2 years ago
- [EAAI 2024] A federated distillation domain generalization framework for machinery fault diagnosis with data privacy☆13Apr 3, 2024Updated last year
- Pytorch Implementation of Deep Kalman Filter☆12Sep 30, 2025Updated 5 months ago
- This is the source code for our ICLR 2025 work EqNIO☆25Feb 15, 2026Updated last month
- ☆11Mar 13, 2025Updated last year
- 基于EKF的INS+BLE+GNSS紧组合☆13Jan 25, 2024Updated 2 years ago
- The implementation of Meta-Pec☆12Sep 13, 2023Updated 2 years ago
- Semi-supervised learning with Generative Adversarial Networks (GANs) using Kolmogorov-Arnold Network Layers (KANLs)☆18Aug 3, 2024Updated last year
- MAMMAL - Magnetic Anomaly Map Matching Airborne and Land: A Python package for simulating and processing aeromagnetic anomaly survey data…☆17May 24, 2024Updated last year
- Inertial and Odometry Benchmark Dataset for Ground Vehicle Positioning☆18May 22, 2020Updated 5 years ago
- This project implements the Adaptive Kernel Kalman Filter (AKKF) for tracking a single target in non-linear, non-Gaussian environments us…☆16Nov 6, 2024Updated last year
- Representing machine learning models using mathematical programming☆20Aug 21, 2024Updated last year
- Magnetic-Field aided Inertial Navigation System☆17Oct 18, 2023Updated 2 years ago
- Loose Coupling of GNSS/INS Using IA-EKF, IGGIII and KGP Methods Based on KF-GINS☆19Apr 22, 2024Updated last year
- Enclosures for Smart Citizen☆17Jan 7, 2026Updated 2 months ago
- ☆27Jun 26, 2025Updated 8 months ago
- A seat occupancy detection system that leverages existing surveillance camera infrastructure and uses CV techniques to map which seats ar…☆18Dec 4, 2018Updated 7 years ago
- ☆12Jun 15, 2023Updated 2 years ago
- A modern agent-based modeling platform for mobility-on-demand simulations.☆13Mar 25, 2021Updated 4 years ago
- Data and code for the paper "Remote Sensing-Based Measurement of Living Environment Deprivation - Improving Classical Approaches with Mac…☆14Mar 13, 2019Updated 7 years ago
- Neural Extended Kalman Filters☆20Aug 8, 2023Updated 2 years ago
- ☆27Jun 19, 2025Updated 9 months ago
- Movements of several ships recorded in the Outer Port of Punta Langosteira (A Coruña, Spain) from 2015 until 2020☆20Jan 17, 2025Updated last year
- ☆18May 16, 2024Updated last year
- rastercube is a python library for big data analysis of georeferenced time series data (e.g. MODIS NDVI)☆19Jul 27, 2017Updated 8 years ago
- ☆20Feb 1, 2022Updated 4 years ago
- ☆18Oct 18, 2022Updated 3 years ago
- Adaptive Beam Scheduling Algorithm for an Agile Beam Radar in Multi-Target Tracking using Interacting Multiple Model Kalman Filters IMMKF…☆19May 18, 2023Updated 2 years ago
- ☆22May 16, 2022Updated 3 years ago
- 京东GOC城市物流运输车辆智能调度☆17Aug 17, 2018Updated 7 years ago