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.
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.
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
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
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
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
This section includes projects and an approach that enhances other learning pipelines. Projects may include:
- Building AI-Driven Automation Pipelines
- Self-Healing Pipelines
- Multi-Cloud CI/CD Pipelines
- Automation of Compliance Testing
- Optimizing code layout
- Event-Driven CI/CD Pipelines
This repo is more conceptual, likely won't be much code, that can be stored in a code repo later.
- 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).