Utilizing AI-Driven DevOps for Predictive Maintenance and Anomaly Detection in Smart Grids.

The research presents an analysis of the enhancement process of AI-driven DevOps in grid management by modifyinganomaly detection, predictive maintenance and entire system effectiveness. It involves an AI driven continuousfeedback loop between these two areas, to get the best delivery and upgrades of the AI models. This collaborationhelps improve system reliability as well as speed up the deployment of needed updates, requiring the smart grid to runas close to optimal as possible.

Authors

Institutions

Publication Details

Journal
Journal of Science and Technology
Published
2025-04-21
DOI
https://doi.org/10.46243/jst.2025.v10.i04.pp27-33
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing AI-Driven DevOps for Predictive Maintenance and Anomaly Detection in Smart Grids.

Lakshmi Prasad Rongali
Journal of Science and Technology
Anomaly Detection Techniques and Applications
article

Utilizing AI-Driven DevOps for Predictive Maintenance and Anomaly Detection in Smart Grids.

Lakshmi Prasad Rongali
article en

Abstract

The research presents an analysis of the enhancement process of AI-driven DevOps in grid management by modifyinganomaly detection, predictive maintenance and entire system effectiveness. It involves an AI driven continuousfeedback loop between these two areas, to get the best delivery and upgrades of the AI models. This collaborationhelps improve system reliability as well as speed up the deployment of needed updates, requiring the smart grid to runas close to optimal as possible.

Journal of Science and TechnologyVol. 10(4)
Meridian Institute (US)
Openalex Percentile: Top 95%
Anomaly Detection Techniques and Applications
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Utilizing AI-Driven DevOps for Predictive Maintenance and Anomaly Detection in Smart Grids. — Lakshmi Prasad Rongali · Journal of Science and Technology (2025) | TGRS Research Map | TGRS