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PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System
Energy Science &Engineering, Volume 14, Issue 9, Page 4422-4437, September 2026.A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman +5 more
wiley +1 more source
Improving Security for SCADA Control Systems [PDF]
, 2008 The continuous growth of cyber security threats and attacks including the increasing sophistication of malware is impacting the security of critical infrastructure, industrial control systems, and Supervisory Control and Data Acquisition (SCADA) control ...
Mariana Hentea
core +1 more source
Energy Science &Engineering, Volume 14, Issue 9, Page 4438-4469, September 2026.This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif +5 more
wiley +1 more source
Integração de sistemas SCADA com a implementação de controle supervisório em CLP para sistemas de manufatura [PDF]
, 2011 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2011Os sistemas SCADA (Supervisory Control and Data Acquisition) são sistemas que ...
Constain, Nicole Beatriz Portilla
core
Changing Homeland Security: What is Homeland Security? [PDF]
, 2008 This article appeared in Homeland Security Affairs (June 2008), v.4 no.2This report published in the June 2008 edition of the Homeland Security Affairs Journal, attempts to address the question of what exactly is Homeland Security and what exactly do ...
Bellavita, Christopher
core +2 more sources
Transmission Loss Prediction Using Neural Networks With Correlation‐Derived Input Features
Energy Science &Engineering, Volume 14, Issue 9, Page 4113-4129, September 2026.A neural network model for transmission loss prediction is enhanced using correlation‐based derived features from operational and meteorological data. The approach improves prediction accuracy by capturing temporal behavior without increasing neural network architectural complexity.
Jovana Tuševljak, Željko Đurišić
wiley +1 more source
Secure Model against APT in m-Connected SCADA Network
International Journal of Distributed Sensor Networks, 2014 Supervisory control and data acquisition (SCADA) networks for the remote control and operation of various industrial infrastructures are currently being used as main metropolitan infrastructures, especially smart grid and power plants.
Si-Jung Kim, Do-Eun Cho, Sang-Soo Yeo
doaj +1 more source
Space Weather, Volume 24, Issue 9, September 2026.Abstract Space weather risk assessment is constrained by the lack of available asset information needed to model geomagnetically induced currents (GICs) in electricity transmission infrastructure. We propose a systematic method that enables risk analysts to collect their own open‐source substation data.
Dennies K. Bor +6 more
wiley +1 more source
Cyber Security Maintenance for SCADA Systems
Electronic Workshops in Computing, 2015 To ensure a high security level in industrial systems over a period of time, maintenance is required. In this paper, we give an overview of security-related maintenance tasks incorporating new technologies employed in industrial control systems such as cloud computing but also new attack technologies such as GPS spoofing. We also provide a threat model
Johannes Schneider 0002 +2 more
openaire +1 more source
Energy Science &Engineering, Volume 14, Issue 8, Page 3948-3973, August 2026.By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source