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Year
2025
Tech Stack
Python, Dash, Plotly, MQTT, pandas, Requests
Description
An end-to-end data pipeline and interactive dashboard for monitoring real-time
electricity generation and greenhouse gas emissions across the Australian
National Electricity Market (NEM), enabling timely insights into power production,
emissions trends, and the operational footprint of large-scale energy facilities.
Why this project matters
This project focuses on making complex, real-time energy and emissions data observable and interpretable. It highlights how live data pipelines can support operational monitoring and informed decision-making in large-scale systems.
Key Features
Technical Highlights
Why this project matters
This project focuses on making complex, real-time energy and emissions data observable and interpretable. It highlights how live data pipelines can support operational monitoring and informed decision-making in large-scale systems.
Key Features
- ⚡ Real-time power generation tracking at 5-minute intervals
- 🌍 Facility-level emissions monitoring across the NEM
- 📊 Interactive geospatial and time-series visualisations
- 🔁 Continuous execution with automatic recovery
Technical Highlights
- 📡 Change-aware MQTT publishing to minimise network load
- 🔗 Seamless integration of live operational and historical datasets
- 🧠 Modular, scalable data pipeline architecture
- 🛠️ Automated execution, error handling, and recovery
My Role
- ⚙️ Developed real-time ingestion pipelines using the OpenElectricity API
- 📐 Designed facility-level data aggregation and transformation logic
- 📡 Implemented efficient MQTT-based messaging workflows
- 🧪 Optimised pipeline performance and operational reliability