05110

05110's Stars

• anujgs/Forecasting-EV-Charging-Station-Load

  4

• pyaf/load_forecasting

  Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

  Language:Jupyter Notebook484156

• samsonq/Thesis

  Samson's MIT Master's Degree Thesis: "Multi-Agent Deep Reinforcement Learning and GAN-Based Market Simulation for Derivatives Pricing and Dynamic Hedging".

  Language:TeX202

• axel-fehr/minimizing-electricity-cost-with-model-based-deep-RL

  This project is about exploring the use of model-based reinforcement learning with Bayesian neural networks to minimize the electricity cost for electricity consumers who have their own photovoltaic system and a battery. The method used here is designed for environments with dynamic electricity prices.

  Language:Python143

• tahanakabi/DRL-for-microgrid-energy-management

  We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.

  Language:HTML17243

• americast/DRL_HVAC

  Optimising electricity expenditure in an HVAC system under dynamic electricity pricing scheme and weather conditions using a DDPG model.

  Language:Python233

• kuhnLIN/GA_PSO

  MATLAB

  Language:Matlab277

• Steprapax/EVRP

  An Electric Vehicle Routing Problem with limited charging capacity at stations

  Language:Java121

• formidablae/EV_Route_Planner

  EV (Electical Vehicle) Route Planner - Calculates route with in-trip stops in charging stations for battery recharge based on car's autonomy (in km) and address of departure & destination. Consumes OpenChargeMap API and OpenStreetMap API from the leaflet library.

  Language:Vue214

• 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:Python233

• mathildebadoual/ev_controller

  Markov Decision Process and Model Predictive control for EV charging station

  Language:Jupyter Notebook264

• wsyCUHK/Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations

  Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations

  Language:Python12132

• fneum/ev_chargingcoordination2017

  Optimal Scheduling of Electric Vehicle Charging in Distribution Networks

  Language:Python9424

• keyan/ev_routing_engine

  Electric vehicle routing engine

  Language:C++51

• RishavDugar/Artificial-Intelligence

  Electric Vehicle Routing Problem

  Language:Python313

• 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:Java439

• prs98/Electric_Vehicle_Charging_Simulation

  The goal of this project is to build a simulation model to determine the largest expected revenue from an electric vehicle charging station in a one month time period given the storage capacity, charging grid change costs, demand and supply.

  Language:MATLAB17

• fredli74/smartcharge-dev

  Smart charging system for EVs

  Language:TypeScript184

• georkara/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) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

  Language:Python8822

• caltech-netlab/acnportal-experiments

  Case studies to demonstrate the use of ACN-Sim.

  Language:Dockerfile307

• Future-Mobility-Lab/EV-charging-impact

  Language:Jupyter Notebook132

• HiteshHolla/EV-Charging-Optimization

  Residential Consumer energy bill reduction via PSO based EV charging

  Language:MATLAB12

• ywjjln/AIHC-20-01584-EVs-

  mo-pso

  Language:MATLAB2

• Ruixxxx/Dynamic-Optimizing-Strategy-of-EV-Charging-Using-PSO

  UCLA, Smart charging, minimize load variance, Particle Swarm Optimization

  Language:MATLAB187