Various projects to go deeper into some of my interests.
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Updated
Jul 11, 2024
Various projects to go deeper into some of my interests.
Energy Economical Model has been developed to quantitatively answer the following question for industrial units, "What is the best energy source mix for my facility and operations?"
Datasets created using iTrust's word class testbeds
This is my thesis project. It involves designing a control system with Artificial Intelligence (genetic algorithm) for energy management optimization in microgrids. The system monitors and controls battery capacity as well as interactions between the microgrid and the national electric grid.
The simple approach is to first denoise the signal and then pass the signal through the deep learning layers to obtain the result. The described model in the code will provide an accuracy of more than 85% for the noisy data and around 99% for noiseless data.
A blockchain Dapp for energy management in microgrids
Towards a Dependable Energy Market: Proof of Authority in a Blockchain-based Peer-to-Peer Microgrid. Paper: https://ieeexplore.ieee.org/document/10027820
Smart Nanogrid Gym is an OpenAI Gym environment for simulation of a smart nanogrid incorporating renewable energy systems, battery energy storage systems, electric vehicle charging station, grid connection, a connected building and using vehicle-to-everything methodology.
This repository contains code written for Dr. Park's microgrid research at University of Colorado Denver. The purpose is to implement a JADE agent that receives near real-time data from a distributed system of power-grid control/monitoring devices. It should store the data in SQL and send it to a GUI that maps the entire system.
C#, ActressMAS | P2P Multi-Agent System for microgrid energy trading using auction protocols
Thesis
This repository contains adaptive control algorithms for managing a single-phase microgrid, along with a Virtual Hardware-in-the-Loop (VHIL) simulation using Typhoon HIL Control Center.
API wrapper for RTE API, production forecasts and tempo tarification
LoRaWAN node to send data from the GC90/GC91 DC power meters via TTN (Arduino Pro Mini, RFM95)
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