Description
TL;DR: A proposed two-layer grid-security system: machine learning predicts line and generator failures while a blockchain layer records events and coordinates responses.
About This Document
Ravi V. Angadi and coauthors simulate line outages and generator failures on the IEEE 30-bus test case. Random forest, support-vector machine, and gradient-boosting models classify contingencies, while a blockchain design uses smart contracts and compares AES, RSA, and elliptic-curve cryptography for event-data protection. The paper reports its strongest classification result from gradient boosting and presents ECC as the lightest tested public-key option.
Why Bitcoin People May Care
This is not a Bitcoin paper. Its blockchain is an infrastructure-control component for a modeled electrical grid, not a permissionless monetary ledger. Bitcoin readers may still find the contrast useful because decentralization, fault tolerance, cryptography, latency, and automated action mean different things when physical equipment is in the loop. The reported performance belongs to the paper's simulation and 2026 test setup.
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Document Details
- Title: Hybrid Blockchain and Machine Learning for Power-Grid Reliability
- Author / organization: Ravi V. Angadi, Suresh Kumar, A. K. Vijayalakshmi, and G. N. Vidya Shree
- Year: 2026
- Language: English
- Document type: Power-systems research paper
- Pages: 9
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