RECL-hjy

RECL-hjy's Stars

• OptMLGroup/VRP-RL

  Reinforcement Learning for Solving the Vehicle Routing Problem

  Language:Python624268219

• qpsolvers/qpsolvers

  Quadratic programming solvers in Python with a unified API

  Language:Python6191410088

• lryz0612/DRL-Energy-Management

  Deep reinforcement learning based energy management strategy for hybrid electric vehicle

  Language:Jupyter Notebook2024852

• TUMFTM/laptime-simulation

  This repository contains a quasi-steady-state lap time simulation implemented in Python. It can be used to evaluate the effect of various vehicle parameters on lap time and energy consumption.

  Language:Python1039327

• gsoh/VED

  VED (Vehicle Energy Dataset): A Large-scale Dataset for Vehicle Energy Consumption Research. (IEEE Transactions on Intelligent Transportation Systems, 2020)

  956643

• BIT-XJY/RL-based-Transferable-EMS

  [IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.

  Language:Python864013

• yeoleparesh/HEV_EMS_DP

  Implementation of Dynamic Programming for Energy Management of Hybrid Electric Vehicle

  Language:MATLAB762012

• sebastian-east/admm-energy-management

  An ADMM solver for energy management problems in plug-in hybrid electric vehicles

  Language:MATLAB63208

• TUMFTM/velocity_optimization

  Optimizes (Maximizes) the velocity profile for a vehicle with respect to physical constraints (e.g., power, force, combined acceleration, ...). Takes into account a variable friction potential between road and tires. Max. power input can be variable (for e.g., energy strategy purpose).

  Language:Python5851512

• lryz0612/Transfer_DRL_EMS

  Cross-type transfer for deep reinforcement learning based hybrid electric vehicle energy management

  Language:Jupyter Notebook502013

• XinhaoTsl/Fc_Hybrid_Vehicle_Energy_Management_Strategy

  Project achieved in MATLAB/Simulink 2022b, including optimal control algo, prediction algo, DQN training Env. etc.

  Language:MATLAB49423

• armiro/Energy-Consumption-in-EV

  Driving Range Prediction and Energy Consumption Rate Deviation Classification using ML Models based on Real Electric Vehicle Data

  Language:Python44229

• skarapost/EVLib

  EVLib is a library for the management and the simulation of Electric Vehicle (EV) activities, at a charging station level, within a Smart Grid environment.

  Language:Java44549

• giftfuture/An-adaptive-hierarchical-energy-management-strategy

  An adaptive hierarchical energy management strategy for hybrid electric vehicles

  Language:Python400010

• yeoleparesh/HEV_Rule_based

  Rule based strategy for energy management of Hybrid Electric Vehicle in Simulink

  30106

• efendiogulu/hems

  Home Energy Management System for Small Prosumers Considering Electric Vehicle Load Scheduling

  Language:Python271010

• GreenbirdFox/EnergyManagementStrategy

  A rule-based energy management strategies for hybrid vehicles using dynamic programming in Matlab

  Language:MATLAB24112

• techie-jai/ML-based-Heuristic-learning-charging-time-scheduling-of-EV-vehicles-to-minimize-the-energy-peaks

  The python code generated random demands of random EV vehicles and household electricity demands. It then plots the graphs between earlier energy peaks and reductions in peaks after the implementation of the algorithm. The main concern of the project is to minimize the peaks(high electricity demands) in electricity demands by scheduling the EV charging by using Heuristic learning approach and minimizing the cost of charging. Priorities are also considered along with other factors.

  Language:Python23103

• linas-p/EVDPEP

  Probabilistic Deep Learningfor Electric-Vehicle Energy-Use Prediction

  Language:Jupyter Notebook19226

• ashishpal17/Electric-Vehicles-EVs-Energy-Consumption-Estimation

  Predicting the energy consumption of EVs using the RNN and LSTM. Competencies: Machine Learning, RNN, SUMO Simulation. Python Libraries: numpy, pandas, matplotlib, seaborn

  Language:Jupyter Notebook15113

• hlal1/Energy-optimization-for-hybrid-vehicles

  Energy-efficient powertrain control of hybrid vehicles through traffic jams

  Language:MATLAB15102

• harshalshah7b/PowertrainHybridVehicleTraffic

  Energy-efficient powertrain control of Hybrid Vehicles through traffic jams

  Language:Matlab12201

• krishnavamshi3/Driving-range-Prediction-and-Energy-Consumption-in-EV-s

  Driving range prediction by looking at energy consumption rate of Electronic Vehicles using ML regression techniques.

  Language:Jupyter Notebook12102

• joaofig/eved-explore

  An exploration of the Extended Vehicle Energy Dataset

  Language:Jupyter Notebook10104

• NREL/EVOLVE

  Modern UI tool for modeling solar, energy storage and electric vehicle providing insight regarding how it impact load profile.

  Language:TypeScript95303

• arielgatech/EV_energy_model

  a scalable electric vehicle energy model toolkit for transportation networks

  Language:Python8103

• zhangsl2013/eVED

  An extended version of the VED dataset, which is a large-scale dataset for vehicle energy analysis.

  8103

• Luoyadan/DQN_vehicle_energy

  Code for "Deep Reinforcement Learning-Based Vehicle Energy Efficiency Autonomous Learning System"

  Language:Python7229

• ChengyangGU/NeuralPMP2024

  A data-driven optimal control method based on Pontryagin Maximum Principles.

  Language:Python5100

• ydelipinar/Data_Based_Vehicle_Energy_Consumption_Modeling

  This graduation project, conducted at Sabanci University, focuses on the analysis of real-world data from electric delivery trucks to understand energy consumption patterns, optimize performance, and contribute to sustainable transportation solutions.

  Language:Jupyter Notebook5102