mamaxiaobai Goto Github PK

anxious-ev-charging

A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Control With Dynamic User Behaviors"

charging_demand_simulation_step-tv

A spatial-temporal simulation model for EV charging demand

chargym-charging-station

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC)

constrainedmbpo

Constrained Version of Model-Based Policy Optimization (e.g. CPO as model-free optimizer)

csp_abm

Based on the MESA package in Python, this project builds an electric vehicle driving and charging simulation platform based on the agent-based modeling (ABM).

customer_anylatics

Customer Segmentation, RFM analysis and price elasticity

deep-spatio-temporal-forecasting-of-electrical-vehicle-charging-demand

deepmtp

A python-based framework for multi-target prediction

do-mpc

Model predictive control python toolbox

dynamic-pricing-algorithm

Dynamic Pricing based on Three Reinforcement Learning Models for CCEAI-2024

e2e-dr-learning

Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.

electric-vehicle-charging-station-simulation-model

Simulation of electric vehicle charging station

electrical-vehicle-charging-station-model

Optimal Design and Performance Analysis of Plug-in Electric Vehicle Charging Stations : A Comprehensive Queuing Theory Approach for Real-World Traffic and Cost Scenarios

ev2gym

A V2G Simulation Environment for large scale EV charging optimization

evcdgen

EV charging demand generator

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

fedqr_dataset

This is the dataset for the paper Feature-Enhanced Deep Learning Method for Electric Vehicle Charging Demand Probabilistic Forecasting of Charging Station

lstm-control-waam

Final project for my graduation envolving application of a LSTM neural network coupled with MPC in the optimization of a single bead geometry welded through WAAM.

lstm-mpc

lstm_mpc_master

maddpg-lstm-in-ev-charge-scheduling

This is a repo for my Bachelor's dissertation, a topic about using Reinforcement Learning to solve EV charge Scheduling question.

magc-dynamic_electric_vehicle_charging_pricing

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing

mbpo_pytorch

A pytorch reprelication of the model-based reinforcement learning algorithm MBPO

metas

Code for the paper "Action Space Learning for Heterogeneous User Behavior Prediction"

mp-dqn

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

mpc-road-pricing

multistep-electric-vehicle-charging-station-occupancy-prediction-

data for Multistep Electric Vehicle Charging Station Occupancy Prediction using Mixed-LSTM Neural Networks

p-dqn

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

parksim

Vehicle simualtion and behavior prediction in parking lots.

pets