Synapse-inspired energy networks: a neuromorphic approach to microgrid protection without communication links.
Paper
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The authors' code
MATLAB · 33 lines · 854 B · no license
- data_111 = readtable('Line12.xlsx');
- Disturbance12 = data_111.Disturbance12;
- FTTS_Time12 = data_111.FTTS_Time12;
- inverse_power_model = @(params, x) params(1) ./ (x.^params(2)) + params(3);
- x = Disturbance12;
- y = FTTS_Time12;
- initial_params = [1, 1, 0.01];
- params = nlinfit(x, y, inverse_power_model, initial_params);
- x_fit = linspace(min(x), max(x), 500);
- y_fit = inverse_power_model(params, x_fit);
- figure;
- hold on;
- scatter(x, y, 'b', 'filled');
- plot(x_fit, y_fit, 'r', 'LineWidth', 2);
- xlabel('Disturbance Index');
- ylabel('FTTS Time [s]');
- title('FTTS vs Disturbance Index');
- equation_str = sprintf('y = %.2f / (x^{%.2f}) + %.2f', params(1), params(2), params(3));
- text(0.1, 0.9, equation_str, 'Units', 'normalized', 'FontSize', 12, 'Color', 'k');
- grid on;
- legend('Neuronal Dynamic Response', 'Fitted Curve', 'Location', 'Best');
- hold off;
FTTS vs Disturbance Index.m at commit 27c1aad, no license · at the source
Overview
- Department of Electrical Engineering, IIT Delhi,Hauz Khas, Delhi India
- Department of Energy, Aalborg University,Aalborg East, Denmark
Abstract
The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.
Repository
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saurabhprabhakar/Neuromorphic_Protection
27c1aad3be05c1cc7f070bbfa76629b1622bdcfc, 30 August 2025Availability: 1 check, the latest on 30 September 2026: the link answers
- 30 September 2026: the link answers
9 files
- Fig 1/
FTTS vs Disturbance Index.m , MATLAB, 33 lines - Fig 1/
Standard Inverse IDMT Curve.m , MATLAB, 19 lines - Fig 3a/
fig3a_code.m , MATLAB, 117 lines - Fig 3b/
fig3b_code.m , MATLAB, 90 lines - Fig 3c/
fig3c_code.m , MATLAB, 80 lines - Fig 3d/
fig3d_code.m , MATLAB, 43 lines - Fig 4a/
fig4a_code.m , MATLAB, 96 lines - Fig 4b/
fig4b_code.m , MATLAB, 61 lines - README.md, Text, 58 lines
Code availability statement
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Neuromorphic_Protection
Read it in the paper: doi.org/10.1038/s44172-026-00643-2.
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Neuromorphic_Protection
Read it in the paper: doi.org/10.1038/s44172-026-00643-2.
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Version 1, 30 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 2 keywords, 18 references.
Cite
This paper
Prabhakar, S., Panigrahi, B. K., Blaabjerg, F., & Sahoo, S. (2026). Synapse-inspired energy networks: a neuromorphic approach to microgrid protection without communication links. Communications engineering, 5(1), 90. https://
BibTeX
@article{prabhakar2026sy
author = {Prabhakar, Saurabh and Panigrahi, Bijaya Ketan and Blaabjerg, Frede and Sahoo, Subham},
title = {{Synapse-inspired energy networks: a neuromorphic approach to microgrid protection without communication links}},
journal = {Communications engineering},
year = {2026},
month = mar,
volume = {5},
number = {1},
pages = {90},
publisher = {Springer Science+Business Media},
issn = {2731-3395},
doi = {10.1038/
url = {https://
pmid = {41872425},
pmcid = {PMC13172570}
}
RIS
TY - JOUR
AU - Prabhakar, Saurabh
AU - Panigrahi, Bijaya Ketan
AU - Blaabjerg, Frede
AU - Sahoo, Subham
TI - Synapse-inspired energy networks: a neuromorphic approach to microgrid protection without communication links
T2 - Communications engineering
J2 - Commun Eng
PY - 2026
DA - 2026/
VL - 5
IS - 1
SP - 90
SN - 2731-3395
PB - Springer Science+Business Media
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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"type": "article-journal",
"title": "Synapse-inspired energy networks: a neuromorphic approach to microgrid protection without communication links",
"container-title": "Communications engineering",
"author": [
{
"family": "Prabhakar",
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{
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{
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"given": "Frede"
},
{
"family": "Sahoo",
"given": "Subham"
}
],
"container-title-short":
"volume": "5",
"issue": "1",
"page": "90",
"DOI": "10.1038/
"PMID": "41872425",
"PMCID": "PMC13172570",
"ISSN": "2731-3395",
"publisher": "Springer Science+Business Media",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
3,
23
]
]
}
}
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