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Machine learning models (e.g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability. To address this issue, the paper proposes a glass-box approach that…

Machine Learning · Computer Science 2024-02-27 Wenlong Liao , Fernando Porte-Agel , Jiannong Fang , Birgitte Bak-Jensen , Guangchun Ruan , Zhe Yang

The urgent need for the decarbonization of power girds has accelerated the integration of renewable energy. Concurrently the increasing distributed energy resources (DER) and advanced metering infrastructures (AMI) have transformed the…

Systems and Control · Electrical Eng. & Systems 2022-07-12 Jip Kim , Siddharth Bhela , James Anderson , Gil Zussman

Emerging technologies drive the ongoing transformation of Intelligent Transportation Systems (ITS). This transformation has given rise to cybersecurity concerns, among which data poisoning attack emerges as a new threat as ITS increasingly…

Cryptography and Security · Computer Science 2024-07-24 Feilong Wang , Xin Wang , Xuegang Ban

State estimation is a data processing algorithm for converting redundant meter measurements and other information into an estimate of the state of a power system. Relying heavily on meter measurements, state estimation has proven to be…

Systems and Control · Electrical Eng. & Systems 2021-08-27 Mingqiu Du , Georgia Pierrou , Xiaozhe Wang , Marthe Kassouf

This paper investigates the stakes of introducing probabilistic approaches for the management of power system's security. In real-time operation, the aim is to arbitrate in a rational way between preventive and corrective control, while…

Systems and Control · Computer Science 2016-02-18 Efthymios Karangelos , Patrick Panciatici , Louis Wehenkel

The power system is undergoing rapid evolution with the roll-out of advanced metering infrastructure and local energy applications (e.g. electric vehicles) as well as the increasing penetration of intermittent renewable energy at both…

Systems and Control · Electrical Eng. & Systems 2021-08-04 Shuang Dai , Fanlin Meng , Hongsheng Dai , Qian Wang , Xizhong Chen

Agentic AI and Multi-Agent Systems are poised to dominate industry and society imminently. Powered by goal-driven autonomy, they represent a powerful form of generative AI, marking a transition from reactive content generation into…

Software Engineering · Computer Science 2025-12-29 Brian Bowers , Smita Khapre , Jugal Kalita

With the deeper penetration of inverter-based resources in power systems, false data injection attacks (FDIA) are a growing cyber-security concern. They have the potential to disrupt the system's stability like frequency stability, thereby…

Cryptography and Security · Computer Science 2024-09-10 Abhijeet Sahu , Truc Nguyen , Kejun Chen , Xiangyu Zhang , Malik Hassanaly

The dynamic performance of the generators is a critical factor for the safe operation of the power grid. To this extent, the stability of the frequency of generators is the target of cyber attacks since its instability may lead to sizable…

Signal Processing · Electrical Eng. & Systems 2018-07-25 Hossein Salehghaffari

Fault Injection is the study of observing how systems behave under unusual stress, environmental or otherwise. In practice, fault injection involves testing the limits of computer systems and finding novel ways to potentially break…

Cryptography and Security · Computer Science 2025-09-24 Christopher Simon Liu , Fan Wang , Patrick Gould , Carter Yagemann

Power system blackouts are usually triggered by the initial contingency and then deteriorate as the branch outage spreads quickly. Thus, it is crucial to eliminate the propagation of cascading outages in its infancy. In this paper, a model…

Optimization and Control · Mathematics 2017-10-17 Chao Zhai , Hehong Zhang , Gaoxi Xiao , Tso-Chien Pan

The increasing scale and sophistication of cyberattacks has led to the adoption of machine learning based classification techniques, at the core of cybersecurity systems. These techniques promise scale and accuracy, which traditional rule…

Machine Learning · Computer Science 2018-03-28 Tegjyot Singh Sethi , Mehmed Kantardzic , Joung Woo Ryu

The emerging wide area monitoring systems (WAMS) have brought significant improvements in electric grids' situational awareness. However, the newly introduced system can potentially increase the risk of cyber-attacks, which may be disguised…

Cryptography and Security · Computer Science 2021-08-26 Gabriel Intriago , Yu Zhang

The growing amount of fluctuating renewable infeeds and market liberalization increases uncertainty in power system operation. To capture the influence of fluctuations in operational planning, we model the forecast errors of the uncertain…

Optimization and Control · Mathematics 2015-08-26 Line Roald , Frauke Oldewurtel , Bart Van Parys , Göran Andersson

Embedded software is developed under the assumption that hardware execution is always correct. Fault attacks break and exploit that assumption. Through the careful introduction of targeted faults, an adversary modifies the control-flow or…

Cryptography and Security · Computer Science 2020-03-25 Bilgiday Yuce , Patrick Schaumont , Marc Witteman

Given that disturbances to the stable and normal operation of power systems have grown phenomenally, particularly in terms of unauthorized access to confidential and critical data, injection of malicious software, and exploitation of…

Machine Learning · Computer Science 2025-01-27 Mofe O. Jeje

Real-time cyber-physical systems depend on deterministic task execution to guarantee safety and correctness. Unfortunately, this determinism can unintentionally expose timing information that enables adversaries to infer task execution…

Systems and Control · Electrical Eng. & Systems 2026-02-04 Arkaprava Sain , Sunandan Adhikary , Soumyajit Dey

While power systems are reliable infrastructures, their complex interconnectivities allow for propagation of disturbances through cascading failures which causes blackouts. Meanwhile the ever increasing penetration level of renewable…

Applied Physics · Physics 2017-07-03 Mir Hadi Athari , Zhifang Wang

The electric grid is an attractive target for cyberattackers given its critical nature in society. With the increasing sophistication of cyberattacks, effective grid defense will benefit from proactively identifying vulnerabilities and…

Systems and Control · Electrical Eng. & Systems 2024-02-14 Amr S. Mohamed , Deepa Kundur

In recent years, probabilistic forecasts techniques were proposed in research as well as in applications to integrate volatile renewable energy resources into the electrical grid. These techniques allow decision makers to take the…

Machine Learning · Statistics 2024-10-30 Jens Schreiber , Bernhard Sick
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