Deep learning in electrical utility industry: A comprehensive review of a decade of research
Smart-grid (SG) is a new revolution in the electrical utility industry (EUI) over the past
decade. With each moving day, some new advanced technologies are coming into the …
decade. With each moving day, some new advanced technologies are coming into the …
Smart energy meters for smart grids, an internet of things perspective
Smart energy has evolved over the years to include multiple domains integrated across
multiple technology themes, such as electricity, smart grid, and logistics, linked through …
multiple technology themes, such as electricity, smart grid, and logistics, linked through …
Two-timescale voltage control in distribution grids using deep reinforcement learning
Modern distribution grids are currently being challenged by frequent and sizable voltage
fluctuations, due mainly to the increasing deployment of electric vehicles and renewable …
fluctuations, due mainly to the increasing deployment of electric vehicles and renewable …
Real-time power system state estimation and forecasting via deep unrolled neural networks
Contemporary power grids are being challenged by rapid and sizeable voltage fluctuations
that are caused by large-scale deployment of renewable generators, electric vehicles, and …
that are caused by large-scale deployment of renewable generators, electric vehicles, and …
Data-driven learning-based optimization for distribution system state estimation
Distribution system state estimation (DSSE) is a core task for monitoring and control of
distribution networks. Widely used algorithms such as Gauss-Newton perform poorly with …
distribution networks. Widely used algorithms such as Gauss-Newton perform poorly with …
A review on distribution system state estimation algorithms
M Fotopoulou, S Petridis, I Karachalios… - Applied Sciences, 2022 - mdpi.com
The modern energy requirements and the orientation towards Renewable Energy Sources
(RES) integration promote the transition of distribution grids from passive, unidirectional …
(RES) integration promote the transition of distribution grids from passive, unidirectional …
A survey of power system state estimation using multiple data sources: PMUs, SCADA, AMI, and beyond
State estimation (SE) is indispensable for the situational awareness of power systems.
Conventional SE is fed by measurements collected from the supervisory control and data …
Conventional SE is fed by measurements collected from the supervisory control and data …
[LIVRE][B] Smart Grid Sensors: Principles and Applications
H Mohsenian-Rad - 2022 - books.google.com
Discover the ever-growing field of smart grid sensors, covering traditional and state-of-the-
art sensor technologies, as well as data-driven and intelligent methods for using sensor …
art sensor technologies, as well as data-driven and intelligent methods for using sensor …
Optimal partial feedback attacks in cyber-physical power systems
This article considers false data injection attacks constructed based on partial feedback of
generator frequencies in a cyber-physical power system. The goal of the attacker is to …
generator frequencies in a cyber-physical power system. The goal of the attacker is to …
Graph multiview canonical correlation analysis
Multiview canonical correlation analysis (MCCA) seeks latent low-dimensional
representations encountered with multiview data of shared entities (aka common sources) …
representations encountered with multiview data of shared entities (aka common sources) …