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Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reasoning and self-correction. This paper presents a…

Artificial Intelligence · Computer Science 2018-01-16 Javier Mata , Ignacio de Miguel , Ramó n J. Durá n , Noemí Merayo , Sandeep Kumar Singh , Admela Jukan , Mohit Chamania

Modern power systems face significant challenges in state estimation and real-time monitoring, particularly regarding response speed and accuracy under faulty conditions or cyber-attacks. This paper proposes a hybrid approach using…

Machine Learning · Computer Science 2026-04-07 Solon Falas , Markos Asprou , Charalambos Konstantinou , Maria K. Michael

Power system emergency control is generally regarded as the last safety net for grid security and resiliency. Existing emergency control schemes are usually designed off-line based on either the conceived "worst" case scenario or a few…

Machine Learning · Computer Science 2019-04-23 Qiuhua Huang , Renke Huang , Weituo Hao , Jie Tan , Rui Fan , Zhenyu Huang

Smart grid uses the power of information technology to intelligently deliver energy to customers by using a two-way communication, and wisely meet the environmental requirements by facilitating the integration of green technologies.…

Cryptography and Security · Computer Science 2018-09-10 Zakaria El Mrabet , Hassan El Ghazi , Naima Kaabouch , Hamid El Ghazi

Power grids are becoming more complex to operate in the digital age given the current energy transition to cope with climate change. As a result, real-time decision-making is getting more challenging as the human operator has to deal with…

Machine Learning · Statistics 2022-05-31 Antoine Marot , Alexandre Rozier , Matthieu Dussartre , Laure Crochepierre , Benjamin Donnot

Selecting optimal resources for submitting jobs on a computational Grid or accessing data from a data grid is one of the most important tasks of any Grid middleware. Most modern Grid software today satisfies this responsibility and gives a…

Research in monitoring and control of microgrids has been ongoing for the last two decades to protect and enhance communities' socio-economic performance. However, of increasing concern are the possible cyber-physical threats that could…

Optimization and Control · Mathematics 2019-12-19 Tuyen Vu , Bang Nguyen , Zheyuan Cheng , Mo-Yuen Chow , Bin Zhang

Telecommunications networks generate extensive performance and environmental telemetry, yet most LTE and 5G-NR deployments still rely on static, manually engineered configurations. This limits adaptability in rural, nomadic, and…

Networking and Internet Architecture · Computer Science 2026-02-04 Simran Saxena , Arpad Kovesdy

Maintaining the stability of the modern power grid is becoming increasingly difficult due to fluctuating power consumption, unstable power supply coming from renewable energies, and unpredictable accidents such as man-made and natural…

Artificial Intelligence · Computer Science 2021-06-30 Bo Zhou , Hongsheng Zeng , Yuecheng Liu , Kejiao Li , Fan Wang , Hao Tian

Nowadays, it is broadly recognized in the power system community that to meet the ever expanding energy sector's needs, it is no longer possible to rely solely on physics-based models and that reliable, timely and sustainable operation of…

Machine Learning · Computer Science 2022-11-16 Yuzhou Chen , Tian Jiang , Miguel Heleno , Alexandre Moreira , Yulia R. Gel

With the increased energy demands of the 21st century, there is a clear need for developing a more sustainable method of energy generation, distribution, and transmission. The popularity of Smart Grid continues to grow as it presents its…

Systems and Control · Electrical Eng. & Systems 2024-01-25 Jadyn Powell , Alex McCafferty-Leroux , Waleed Hilal , Stephen Andrew Gadsden

Modern smart grids rely on dense measurement infrastructures, communication links, and intelligent field devices. Although this improves supervision and control, it also increases vulnerability to cyber-physical disruptions. Operators must…

Machine Learning · Computer Science 2026-05-22 Adis Alihodžić , Eva Tuba , Milan Tuba

Purpose:This article advocates for the development of a next-generation grid monitoring and control system designed for future grids dominated by inverter-based resources. Leveraging recent progress in generative artificial intelligence…

Systems and Control · Electrical Eng. & Systems 2025-01-28 Lang Tong , Xinyi Wang , Qing Zhao

The increasing penetration of renewable energy sources introduces significant variability and uncertainty in modern power systems, making accurate state prediction critical for reliable grid operation. Conventional forecasting methods often…

Machine Learning · Computer Science 2025-04-01 Dhruv Suri , Mohak Mangal

Components of electrical power systems are susceptible to failures caused by lightning strikes, aging or human errors. These faults can cause equipment damage, affect system reliability, and results in expensive repair costs. As electric…

Systems and Control · Electrical Eng. & Systems 2025-07-15 Juan A. Martinez-Velasco , Alexandre Serrano-Fontova , Ricard Bosch-Tous , Pau Casals-Torrens

Modern smart grids demand fast, intelligent, and energy-aware computing at the edge to manage real time fluctuations and ensure reliable operation. This paper introduces FOGNITE Fog-based Grid In intelligence with Neural Integration and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-23 Somayeh Sobati-M

Smart Grid has rapidly transformed the centrally controlled power system into a massively interconnected cyber-physical system that benefits from the revolutions happening in the communications (e.g. 5G) and the growing proliferation of the…

Cryptography and Security · Computer Science 2022-05-10 Haftu Tasew Reda , Adnan Anwar , Abdun Mahmood

Underground water and wastewater pipelines are vital for city operations but plagued by anomalies like leaks and infiltrations, causing substantial water loss, environmental damage, and high repair costs. Conventional manual inspections…

Machine Learning · Computer Science 2025-10-09 Qiming Guo , Bishal Khatri , Hua Zhang , Wenlu Wang

Increased connectivity and remote reprogrammability/reconfigurability features of embedded devices in current-day power systems (including interconnections between information technology -- IT -- and operational technology -- OT --…

Systems and Control · Electrical Eng. & Systems 2024-06-19 Prashanth Krishnamurthy , Ali Rasteh , Ramesh Karri , Farshad Khorrami

The RESISTO project, a pioneer innovation initiative in Europe, endeavors to enhance the resilience of electrical networks against extreme weather events and associated risks. Emphasizing intelligence and flexibility within distribution…