Pinned Repositories
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
ALADIN.m
andes
Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥
ASTORIA
ASTORIA is a framework developed to allow the simulation of attacks and the evaluation of their impact on Smart Grid infrastructures.
GridFormingConverters
Implementation of Grid-Forming Control Techniques in IEEE 9-Bus System
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
mosaik-mosaik-aiomas-demo
reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
ntlamdut's Repositories
ntlamdut/GridFormingConverters
Implementation of Grid-Forming Control Techniques in IEEE 9-Bus System
ntlamdut/reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
ntlamdut/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
ntlamdut/ALADIN.m
ntlamdut/andes
Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥
ntlamdut/awesome-fmi
A curated list of Functional Mock-up Interface (FMI) libraries, tools and resources.
ntlamdut/bonsai-simulink-1
Microsoft Bonsai Simulink Toolbox and sample models
ntlamdut/CityLearn
Official reinforcement learning environment for demand response and load shaping
ntlamdut/compas-open-scd
A substation configuration description editor for projects using SCL IEC 61850-6 Edition 2 or greater
ntlamdut/CoSimul_Platform
A smart grid co-simulation platform based on mosaik
ntlamdut/dds_iec61850_gateway
The DDS to IEC 61850 gateway for microgrid network.
ntlamdut/deep-rl-tf2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
ntlamdut/FMPy
Simulate Functional Mockup Units (FMUs) in Python
ntlamdut/FPGA-Adaptive-Beamforming-and-Radar-Examples
This repository contains FPGA/HDL demonstrations several beamforming and radar designs. Simulink models and MATLAB reference code are provided to showcase high-level simulation and HDL designs of various radar and array processing algorithms.
ntlamdut/GridAttackSim
GridAttackSim: Smart Grid Attack Simulation Framework
ntlamdut/gym-electric-motor
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
ntlamdut/gym-opendss
An implementation of an OpenAI gym environment for EPRI OpenDSS, using OpenDSS's native Python COM interface.
ntlamdut/helics-ns3
ns-3 module for integrating with a HELICS co-simulation
ntlamdut/Inkscape_electric_Symbols
Electrical symbol library for the vector graphics program Inkscape.
ntlamdut/openmodelica-microgrid-gym
OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids
ntlamdut/PHIL_Database
PHIL test database
ntlamdut/PIDG
ntlamdut/PowerGenome
A tool to quickly and easily create inputs for power systems models
ntlamdut/PowerSystemProtections
Goal: This Project is designed as a repository of the main documents used in the development of the module Power System protection.
ntlamdut/rapidPF
Matlab code to generate distributed power flow problems.
ntlamdut/Raspbian_OS_Setup
Setup the Raspberry Pi Raspbian OS to be compatible with MATLAB and Simulink support package for Raspberry Pi
ntlamdut/Reinforcement-Learning-Inverted-Pendulum-with-QUBE-Servo2
This is a demo model for Reinforcement Learning Control Design. After designing agent, it is deployed to Raspberry Pi and run real-time hardware.
ntlamdut/rl-testbed-for-energyplus
Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
ntlamdut/Simscape-Battery-Electric-Vehicle-Model
A Battery Electric Vehicle (BEV) model in Simscape and its components such as motor, high voltage battery, and longitudinal vehicle, demonstrating Simscape modular and multi-fidelity modeling technology
ntlamdut/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.