Results 211 to 220 of about 165,397 (302)

Power instruction correction based frequency response strategy for grid forming inverter in islanded microgrids

International Journal of Electrical Power & Energy Systems
Hengyou Zhang, Shengbao Yu, Liansong Xiong, Lei Liu   +3 more
semanticscholar   +1 more source

Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing

Advanced Energy and Sustainability Research, EarlyView.
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang, Yuzhu Yuan, Javed Alam, Guangpeng Zhang, José V. Anguita, Zijian Wang, Kai Yang   +6 more
wiley   +1 more source

Optimized ANN-RF hybrid model with optuna for fault detection and classification in power transmission systems. [PDF]

Sci Rep
Uzel H, Özüpak Y, Alpsalaz F, Aslan E.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

New flexible bidirectional converter for electric vehicle substations connecting microgrids. [PDF]

Sci Rep
Vinh NT, Nguyen VT, Van Dung N, Vu HS.
europepmc   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Intelligent demand-side energy management via optimized ANFIS-gene expression programming in hybrid renewable-grid systems. [PDF]

Sci Rep
Elboughdiri N, Kriaa K, Bakare MS, Abdulkarim A, Alaneme GU, Maatki C.   +5 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Deep reinforcement learning-based controller for DC-link voltage regulation and voltage sag compensation in a solar PV-integrated UPQC system. [PDF]

Sci Rep
Sravani M, Sobhan PVS.
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source