Improving scalability of RL algorithms using GNNs: A case study in optimal EV charging.
-
Updated
Oct 16, 2025 - Python
#
smart-charging
Here are 16 public repositories matching this topic...
Site level energy system optimization model toolbox for investigations of EV fleet integration and management strategies
minigrid v2g microgrid energy-system-model v2h smart-charging v2b ev-integration bidirectional-charging v2s
-
Updated
Apr 22, 2025 - Python
This repository contains code connected to my master's thesis, "Power Peak Shaving: How to Schedule Charging of Electric Vehicles and Organize Mutually Beneficial Vehicle to Grid (V2G)". This is also the code described in the CIRED article "Smart Charging of Electric Vehicles Based on Scheduling Theory" by H. Nygård, I. Mørch and O. Bergland
-
Updated
Jan 21, 2023 - Python
Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in electric vehicles", accepted to be published in Nature Communication
-
Updated
May 22, 2024 - Jupyter Notebook
A Decision Transformer for solving optimal EV charging problems using offline data.
-
Updated
May 8, 2025 - Python
Eveus (Energy Star) EVSE Home Assistant Custom Integration (HACS)
-
Updated
Aug 8, 2025 - Python
This project proposes a smart charging algorithm based on linear programming that minimizes the charging costs of an aggregated fleet.
linear-programming spot-market photovoltaics smart-charging economic-optimization secondary-control-reserve-market grid-peak-load-avoidance
-
Updated
May 21, 2021 - MATLAB
Simple, yet feature-rich, CSMS or LC OCPP Server with Smart Charging Capabilities
-
Updated
Jul 1, 2025 - Python
Strel connects electric vehicle owners with private charging point hosts. Find a charge anywhere, or monetize your own station. #GreenTech #EV". Ajoutez aussi le lien du site web ici s'il ne l'est pas déjà.
nodejs geolocation mobile-app android-application ios-app flutter predictive-modeling mobility electric-vehicles renewable-energy smart-city charging-stations ev-charging green-tech mobility-data energy-optimization smart-charging collaborative-economy ai-in-mobility ai-energy
-
Updated
Sep 29, 2025
This is the published code for aggregating using ul-flexibility method proposed by Panda N.K. & Tindemans S.H.
-
Updated
Oct 23, 2024 - Jupyter Notebook
Charge your Tesla from solar power surplus or at low grid prices.
-
Updated
Dec 12, 2024 - Go
Open Smart Charging Protocol SDK for Go
-
Updated
Dec 1, 2025 - Makefile
This data science / physics report explores machine learning approaches for electric vehicle optimization. It covers battery management, range prediction, charging station placement and energy efficiency. It highlights AI-driven solutions for predictive maintenance, energy scheduling, and enhancing EV performance to support wider adoption.
data-science machine-learning sustainability ai deep-learning optimization transportation data-visualisation data-analysis electric-vehicles energy-efficiency predictive-maintenance charging-stations battery-management smart-charging
-
Updated
Feb 5, 2025
This research was fully supported by RF-GE-N.00001 and RF-EV-N.00001 from G.A.I.A QTech, Vietnam.
-
Updated
Dec 5, 2024 - Python
Planificador de viajes EV para Home Assistant con optimización MPC y control de carga inteligente
-
Updated
Nov 23, 2025 - Python
Improve this page
Add a description, image, and links to the smart-charging topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the smart-charging topic, visit your repo's landing page and select "manage topics."