By Chaoyun Song, Yuan Ding, Aline Eid, Jimmy G. D. Hester, Xuanke He, Ryan Bahr, Apostolos Georgiadis, George Goussetis, and Manos M. Tentzeris
PUBLISHED IN OCTOBER 2023
Title
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era
Authors
A. Triantafyllopoulos et al.
Abstract
Speech is the fundamental mode of human communication, and its synthesis has long been a core priority in…
PUBLISHED IN September 2023
Title
Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects
Authors
Y. Li et al.
Abstract
With the increasing penetration of renewable energy and flexible loads in smart grids, a more complicated power system with high…
PUBLISHED IN July 2023
Title
Disturbance Propagation in Power Grids With High Converter Penetration
Authors
H. Cui et al.
Abstract
High penetration of converter-interfaced renewable energy resources will significantly change the swing dynamics between synchronous generators (SGs) in future power systems. This…
PUBLISHED IN July 2023
Title
A Cyber–Physical–Social Perspective on Future Smart Distribution Systems
Authors
Y. Wang, C.-F. Chen, P.-Y. Kong, H. Li, and Q. Wen
Abstract
An increasing number of distributed energy resources (DERs), such as rooftop photovoltaic (PV), electric vehicles (EVs),…
PUBLISHED IN July 2023
Title
Power System Stability With a High Penetration of Inverter-Based Resources
Authors
Y. Gu and T. C. Green
Abstract
Inverter-based resources (IBRs) possess dynamics that are significantly different from those of synchronous-generator-based sources and as IBR penetrations grow…
Signal processing, communications, and control have traditionally relied on classical statistical modeling techniques utilizing mathematical formulations representing underlying physics, prior information, and additional domain knowledge. These models rely on simplifying assumptions (for example, linear systems and Gaussian and independent noises) to render…
PUBLISHED IN July 2023
Title
Data-Driven Security and Stability Rule in High Renewable Penetrated Power System Operation
Authors
N. Zhang et al.
Abstract
Power systems around the world are experiencing an energy revolution that substitutes fossil fuels with renewable energy. Such a…
Object detection seeks to answer of one the most fundamental and challenging questions in computer vision: What objects are where? Computational models and various techniques are leveraged to detect instances of humans, animals, cars, or other visual objects in digital images at…
PUBLISHED IN MARCH 2023
Title
Radar-Based Monitoring of Vital Signs
Authors
G. Paterniani et al.
Summary
Radar techniques aimed at health monitoring have been investigated recently and have gained sufficient interest as a potential technique for monitoring human vital signs. Radar technologies…