Results 81 to 90 of about 8,561 (290)

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Virtual Inertia and Mechanical Power-Based Control Strategy to Provide Stable Grid Operation under High Renewables Penetration

Applied Sciences, 2019
This paper presents a virtual inertia and mechanical power-based control strategy to provide a stable operation of the power grid under high penetration of renewable energy sources (RESs).
Majid Mehrasa, Edris Pouresmaeil, Hamid Soltani, Frede Blaabjerg, Maria R. A. Calado, João P. S. Catalão   +5 more
doaj   +1 more source

Stability improvement of microgrids under dynamic load conditions: A new adaptive virtual synchronous generator based virtual inertia control approach

The virtual synchronous generator (VSG) exhibits prominent features such as communication-less control in microgrids due to its virtual inertia support.
Md Asaduzzaman Shobug, Lu, J, Shobug, MA, Fuwen Yang, Junwei Lu, Yang, F   +5 more
core   +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

An Adaptive Virtual Inertial Control Strategy for DC Distribution Networks

Energies
The DC distribution network is a low-inertia system, which is very sensitive to load disturbance, system failure, and other factors. By adding virtual capacitance to the converter connected to the power supply, the virtual inertia of the DC power grid ...
Junhua Xu, Weixun Liu, Guopeng He
doaj   +1 more source

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

In modern power systems, conventional energy production units are being replaced by clean and environmentally friendly renewable energy resources (RESs). Integrating RESs into power systems presents numerous challenges, notably the need for enhanced grid
Nafis Ahmed Chowdhury, Md Alamgir Hossain, Sanjari, Mohammad J, Md Asaduzzaman Shobug, Hossain, Md Alamgir, Yang, Fuwen, Mohammad J. Sanjari, Junwei Lu, Fuwen Yang, Chowdhury, Nafis Ahmed, Shobug, Md Asaduzzaman, Lu, Junwei   +11 more
core   +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

Characteristics Analysis of Inertia Damping of Grid-Connected System of Direct-Drive Wind Power Generation

IEEE Access, 2020
As large-scale direct-drive wind turbine generator set is connected to the grid, the power system will face problems such as reduced inertia and insufficient frequency modulation capability. The control of wind turbine virtual inertia is an important way
Shengqing Li, Yu Jiang, Baling Fang, Chenyang Wang   +3 more
doaj   +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

A multi-energy inertia-based coordinated voltage and frequency regulation in isolated hybrid power system using PI-TISMC

Frontiers in Energy Research
This paper proposes novel multi-energy inertia support for simultaneous frequency and voltage control of an isolated hybrid power system (IHPS). Multi-energy storage (gas inertia – hydrogen storage, thermal inertia – solar thermal storage, hydro inertia –
Kothalanka K. Pavan Kumar, Dulal Chandra Das, Nirmala Soren, A. S. Veerendra, Aymen Flah, Aymen Flah, Aymen Flah, Aymen Flah, Abdulaziz Alkuhayli, Rahmat Ullah   +9 more
doaj   +1 more source