Skip to content
Independent research & intelligence
OPEN VARIABLE

Evidence-First Signal Intelligence

Menu

Research literature / Conference paper

Proactive AI-Based Anomaly Detection for Supporting Power Grid Frequency Balancing using Radio Base Stations

Illyyne Saffar; Lackis Eleftheriadis; Aurélie Boisbunon; Oleg Gorbatov; Shruti Bothe

Published
Publisher
IEEE
Journal / collection
2026 8th Global Power, Energy and Communication Conference (GPECOM)
Research area
Energy & infrastructure
Source type
Conference paper
DOI
10.1109/gpecom70462.2026.11578895

Read the original source ↗

The original publisher provides the full text and its access options.

Cite this source

Illyyne Saffar; Lackis Eleftheriadis; Aurélie Boisbunon; Oleg Gorbatov; Shruti Bothe. Proactive AI-Based Anomaly Detection for Supporting Power Grid Frequency Balancing using Radio Base Stations. 2026 8th Global Power, Energy and Communication Conference (GPECOM). 2026-06-03. https://doi.org/10.1109/gpecom70462.2026.11578895

Download RIS