Projects

This repository contains various projects learned in courses and my own interests. As this is the first branch in the learning sector, it will start as more of a foundation for energy, and the other branches may be moved here later.

Table of Contents

• About
• Demo
• Features
• Project Branches
  • Microgrid
  • Social Algorithms
  • Edge Computing
• Installation
• Contributing
• Usage
• Contact

About

This section will include: sources with an annotated bibliography, my own thoughts, feature engineering, my ideal dataset (then if I can find an accessible one), and then bring in various branches off of this one, if it doesn't conflict with main.

Demo

(Demo content goes here)

Features (in this order of operations):

Guideline: Machine Learning Steps

• Literature review, domain knowledge context (commonly omitted, why get data and choose a project if some end goal is not in mind, this can be a guideline for the rest of the project)
• Preprocess a dataset (clean, visualize, data quality)
• Feature Engineering
• Building a model
  • Iterating
  • Robustness checks
• Optimization, Parameter Tuning, Model Evaluation
  • Propagation
  • Regularization
• Implementations, Policy Analysis
• Applying an agent to help maintain, optimize, and other ways to expand once better understanding how those work.
  • Demand Charge Reductions, for example, DERs
  • Net Zero Management - control energy storage

Project Branches

Microgrid

This section includes projects focused on the design, optimization, and management of microgrids. Projects may include:

• Demand Charge Reductions
• Net Zero Management
• Control and optimization of distributed energy resources (DERs)
• Cybersecurity in microgrids

Social Algorithms

This section includes projects related to the development and analysis of social algorithms. Projects may include:

• Social network analysis
• Influence maximization
• Recommendation systems
• Sentiment analysis

Edge Computing

This section includes projects that involve edge computing technologies and applications. Projects may include:

• Real-time data processing at the edge
• IoT device management
• Edge AI applications
• Distributed computing
• This project will be focused on equitable compute and distributing that

Installation

(Instructions for setting up the projects and dependencies)

Contributing

• Some problems this paper works to address, mentioned here (Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity).

• Understanding various microgrid components in depth/context and physical architecture (Grid-Connected and Seamless Transition Modes for Microgrids: An Overview of Control Methods, Operation Elements, and General Requirements).

Usage