⚡ Background in Mechanical Engineering
🌍 Passionate about Renewable Energy, Energy Systems Modelling, and Data-Driven Sustainability
I am a Sustainable Energy Futures master's student with strong foundations in statistics, energy systems modelling, and time-series forecasting. My work focuses on using Python and data analysis to understand energy systems, renewable integration, and emissions trends.
I am particularly interested in:
- Renewable energy systems
- Energy data analytics
- Microgrid and hybrid system modelling
- Power system resilience
- Energy forecasting and optimisation
Programming
- Python (pandas, NumPy, Matplotlib, GeoPandas)
Energy Modelling
- HOMER Pro
- PVsyst
Data Analysis
- Time-series forecasting (ARIMA)
- Statistical analysis
- Data visualisation
Tools
- Git & GitHub
- MATLAB
Python-based simulation framework for analysing the impact of cyber-attacks on inverter-controlled renewable energy systems and evaluating system stability under disturbance scenarios.
Designed and optimised a solar-battery hybrid microgrid using HOMER Pro and analysed hourly generation and load time-series data to determine optimal system sizing.
Processed and analysed structured datasets using Python (pandas and NumPy) and performed exploratory data analysis and visualisation using Matplotlib.
- Renewable energy integration
- Energy system optimisation
- Carbon emissions modelling
- Energy forecasting using Python
I'm open to collaborating on projects related to:
- Renewable energy systems
- Energy data analysis
- Sustainability and climate data
- Python for energy modelling
📧 Email: burutoluroy@gmail.com
🔗 GitHub: https://github.com/Dauemi