https://github.com/zian-surani/energy-internet
This repository contains data visualizations and comparative insights into various performance and economic metrics of the **Energy Internet** — a next-generation concept integrating the traditional power grid with smart ICT systems, distributed energy resources, and decentralized control.
https://github.com/zian-surani/energy-internet
energy energy-internet matlab smart-grid
Last synced: 4 months ago
JSON representation
This repository contains data visualizations and comparative insights into various performance and economic metrics of the **Energy Internet** — a next-generation concept integrating the traditional power grid with smart ICT systems, distributed energy resources, and decentralized control.
- Host: GitHub
- URL: https://github.com/zian-surani/energy-internet
- Owner: Zian-Surani
- Created: 2025-07-10T10:54:25.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-07-10T11:07:24.000Z (4 months ago)
- Last Synced: 2025-07-10T18:19:09.799Z (4 months ago)
- Topics: energy, energy-internet, matlab, smart-grid
- Language: MATLAB
- Homepage:
- Size: 151 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ⚡ Energy Internet: A Data-Driven Exploration
This repository contains data visualizations and comparative insights into various performance and economic metrics of the **Energy Internet** — a next-generation concept integrating the traditional power grid with smart ICT systems, distributed energy resources, and decentralized control.
## 📊 Project Purpose
The goal of this project is to analyze the **impact, performance, and practicality of Energy Internet implementations** across various dimensions such as:
- Voltage stability under renewable integration
- Network loss reduction
- Transaction latency in decentralized energy trading
- Fault recovery performance
- Lifecycle cost-benefit comparison
These analyses are supported by data extracted and synthesized from reputable peer-reviewed publications and real-world case studies.
---
## 📚 Data Sources & References
All data used for graphs and visualizations are sourced directly from the following well-regarded academic and industrial publications. The data has been normalized with equal recurrence order, ensuring consistent scale without distorting relative comparisons across axes or maxima.
## 🔹 Voltage Stability under Renewable Penetration
Wang, Kun et al. A Survey on Energy Internet Communications for Sustainability. IEEE Transactions on Sustainable Computing, 2017. DOI: 10.1109/TSUSC.2017.2763898
Cheng, L. et al. Energy Internet: Concept and Practice Exploration. IEEE Conference on Energy Internet and Energy System Integration (EI2), 2017.
## 🔹 Network Loss Reduction with Localized Balancing
Huang, A. Q. et al. The FREEDM System: The Energy Internet. Proceedings of the IEEE, 2011. DOI: 10.1109/JPROC.2010.2081330
Hussain, S. M. Suhail & Furquan Nadeem. The Emerging Energy Internet. Electronics, 2019. DOI: 10.3390/electronics8091043
## 🔹 Transaction Latency in Energy Trading Models
Zhang, F. et al. Discrete Energy Internet. IEEE EI2 Conference, 2017.
Hussain, S. M. Suhail & Furquan Nadeem. The Emerging Energy Internet, 2019.
Power Ledger. Peer-to-Peer Energy Trading in Perth. Power Ledger White Paper, 2018.
## 🔹 Fault Recovery Time Comparison
Huang, A. Q. Solid State Transformer and FREEDM System Power Management. NSF FREEDM Center. Link
Tsoukalas, L. & Gao, R. Smart Grids to Energy Internet. DRPT Conference, 2008.
## 🔹 Cost-Benefit Over Lifecycle
Tsoukalas, L. & Gao, R. Smart Grids to Energy Internet. DRPT Conference, 2008.
INTERFLEX Project. Innovative Grid Solutions for Flexibility Provision. Website
Surani, Rozina. From Smart Grids to an Energy Internet. GTUICON2019, ISBN: 978-93-5351-069-5.
## 📐 Data Handling & Methodology
All numerical data used in graphs was standardized using equal recurrence intervals to ensure statistical balance.
Outliers were smoothed to maintain a consistent maximum value across comparisons.
Visuals were created using Python (Matplotlib / Seaborn) and exported to high-quality vector images.
## 📌 Contributions & Usage
This repository can be used for academic reference, teaching modules, or research extension in the domain of Smart Grids, Energy Internet, and Renewable Power Systems.
For deeper implementation or further simulation (e.g., using GridLab-D or MATLAB Simulink), contributions and forks are welcome!
## 📢 Note: Please cite the original research sources if using this data in your work.
## 📬 Contact
Maintained by Zian Rajeshkumar Surani
📧 Email: zian.surani@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/zian-rajeshkumar-surani-125215195
## 📁 Repository Structure
```plaintext
Energy-Internet/
├── data/ # Processed numerical data files
├── graphs/ # Generated plots and visualizations
├── source_references/ # Citation list and raw data links
├── scripts/ # Code used for data cleaning and plotting
└── README.md