Results 61 to 70 of about 8,376 (257)

Adaptive Virtual Inertia for AC Grids Connected to MT‐HVDC Grid by Considering DC Voltage Stability

IET Renewable Power Generation
The growing integration of power electronics converters (PECs) and multi‐terminal high voltage DC (MT‐HVDC) grids within the power system decreases the system's inertia.
Amir Arsalan Astereki, Mehdi Monadi, Seyed Ghodratolah Seifossadat, Alireza Saffarian, Kumars Rouzbehi   +4 more
doaj   +1 more source

Establishment of an auxiliary virtual damping loop for the superior inertial response in the microgrid

IET Smart Grid, 2019
Low inertial microgrids in the power network are extremely sensitive toward any uncertainties. Therefore, the practise of complementing inertia virtually in microgrids has earned huge attention in recent time.
Pritam Bhowmik, Pravat Kumar Rout, Pravat Kumar Rout   +2 more
doaj   +1 more source

A Soft Mechanoluminescent Skin for High‐Resolution Optical Tactile Sensing in Human–Machine Interaction

Advanced Science, EarlyView.
A soft mechanoluminescent tactile sensor that converts force directly into light is presented, enabling imaging‐based, wiring‐free touch sensing. By integrating a flexible ML‐skin with CMOS readout, the system achieves high sensitivity, fast response, and high spatial resolution, while maintaining structural simplicity and energy efficiency, offering a
Yu Feng, Qiaojiao Wang, Yehui Liu, Jiankun Li, Senlin Hou, Xiaomeng Yang, Ziyi Li, Yanji Yi, Meng Chen, Guanglie Zhang, Hao Sun, Wen Jung Li   +11 more
wiley   +1 more source

Energy Storage Sizing for Wind-Storage Frequency Regulation: Kinetic Energy Recovery and Secondary Frequency Drop Suppression

Energies
High wind power penetration aggravates power system inertia scarcity, and wind turbines switching to MPPT mode after virtual inertia support induces secondary frequency drop (SFD), impairing grid frequency stability.
Guodong Song, Xianshan Li, Yuanhang Zhang   +2 more
doaj   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Decoupling Design Method for DC Virtual Inertia and Voltage Loop Stability Margin

CSEE Journal of Power and Energy Systems
Implementation of large virtual inertia with high stability margin is a significant challenge for DC microgrid systems. In this paper, a filter time constant, a new degree of freedom, is utilized to enhance voltage loop stability and its relationship ...
Jintao Lei, Rujing Zhang, Xin Xiang, Chushan Li, Chengmin Li, Wuhua Li, Xiangning He   +6 more
doaj   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Comprehensive Coordinated Control Strategy of PMSG-Based Wind Turbine for Providing Frequency Regulation Services

IEEE Access, 2019
A high proportion of wind energy in modern power system requires wind turbines (WTs) to provide frequency regulation services. In this context, this paper proposes a comprehensive coordinated control strategy of permanent magnet synchronous generator ...
Xueyang Zeng, Tianqi Liu, Shunliang Wang, Yuqing Dong, Zhe Chen   +4 more
doaj   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source