OPTIMAL RENEWABLE ELECTRICITY PORTFOLIO FOR THE U.S

I first thought, what can I do to leave an impact on society or bring a wave of change in an area that not only matters to me, but everyone. What can I do that future generations could improve upon and forever be better off for it? That's when I remembered my work in my professor's renewable energy class last semester. Climate change is a global issue that will affect us and future generations. If I can create something that could optimize how we use and think about energy, that could reduce the amount of carbon emissions, it could cause a ricochet effect of improvement of our planet, our people, and our way of living.

So what exactly is it? It is an optimal renewable electricity portfolio that is currently applied to the U.S. but can use the core logic to extrapolate to other regions. It takes into account multiple models and the core principle of resource allocation and regional specialization. Certain regions have more abundance of different forms of energy. If we can maximize the use of the renewable energies and minimize the use of fossil fuels while reaching the necessary electricity generation demands of people, then everyone wins.

I started by making a mathematical model on Matlab and converted it into python code on Cursor. I decided user interaction/experience is key to keeping people engaged and highlighting how easy it is to understand and tackle this issue.

Challenges I ran into included not finding relevant data that I could use or automate. API keys would sometimes malfunctions for reasons I am still unsure of. Overall, data collection was my greatest struggle.

I'm proud of how I overcame the challenges related to collecting data. I am also proud of the idea of creating a map of the United States that would allow users to click on individual states to have an overview of data concerning that state. The inclusion of an AI model to also review my figures (for accuracy purposes) and generate an explanation of what they mean was another notable feat.

I've learned a lot about how to parse through data, find resources, manage API keys, understand new languages/frameworks, and develop a much better overall understanding of how to use AI.

What's next for OPTIMAL RENEWABLE ELECTRICITY PORTFOLIO FOR THE U.S is to develop a more automated system that can be easily used across the board.

Built With

• html
• python