Renewable Energy Insights Dashboard

Data analysis project exploring how U.S. renewable energy production — solar, wind, hydroelectric, geothermal, and biomass — has evolved from 1973 to 2024.

Cleans and aggregates EIA consumption data, visualizes trends by source and sector, and forecasts future consumption with Holt-Winters and Prophet.

Setup

python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

Quick Start

# Run the dashboard
streamlit run app/dashboard.py

Dashboard → http://localhost:8501 · Live demo → https://powerthefuture.streamlit.app/

Structure

enerlytics/
├── app/
│   └── dashboard.py                         # Streamlit dashboard
├── notebook/
│   ├── 01_data_cleaning.ipynb               # Data loading & preprocessing
│   ├── 02_analysis.ipynb                    # EDA & visualizations
│   └── 03_forecasting.ipynb                 # Holt-Winters & Prophet models
├── data/
│   ├── us_renewable_energy_consumption.csv       # Raw data
│   ├── cleaned_us_renewable_energy_no_2024.csv   # Processed (1973–2023)
│   └── cleaned_us_renewable_energy.csv           # Includes partial 2024
├── LICENSE
├── README.md
└── requirements.txt

Author: Huseyin Kucukogul · MIT License