Results 51 to 60 of about 3,901,168 (239)

Gridded Assessment of Mainland China’s Solar Energy Resources Using the Typical Meteorological Year Method and China Meteorological Forcing Dataset

Atmosphere
The National Standard of China has recommended the typical meteorological year (TMY) method for assessing solar energy resources. Compared with the widely adopted multi-year averaging (MYA) methods, the TMY method can consider the year-to-year variations
Zongpeng Song, Bo Wang, Hui Zheng, Shuanglong Jin, Xiaolin Liu, Shenbing Hua   +5 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

A method for short-term wind power forecasting under extreme weather conditions based on meteorological factor interpretability and hybrid deep learning algorithms

AIP Advances
Accurate forecasting of renewable energy generation is the foundation for all renewable energy consumption technologies. Currently, wind power forecasting techniques have become relatively mature under normal weather conditions.
Bo Wang, Shu Wang, Zheng Wang, Yingying Zheng, Xin Li   +4 more
doaj   +1 more source

Interannual Variation in Mainland China’s Atmosphere Clearness Index Associated with El Niño–Southern Oscillation

Atmosphere
Atmosphere clearness is the single most essential parameter determining surface solar radiation. However, few studies have investigated the interannual variations in China’s atmosphere clearness and the impacts of El Niño–Southern Oscillation on it. This
Zongpeng Song, Bo Wang, Hui Zheng, Shu Wang, Xiaolin Liu, Shuanglong Jin   +5 more
doaj   +1 more source

Short‐term photovoltaic power prediction based on MDCM‐GA‐LSTM model

The Journal of Engineering, 2022
In recent years, photo‐voltaic (PV) system has become one of the most potential renewable energy power generation technologies because of its many advantages.
Tianze Liu, Shusen Liu, Shunjiang Wang, Yanjuan Ma   +3 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Research on Development Scenario of Renewable Energy in Receiving-End Power Grid Based on Production Simulation

Zhongguo dianli
Driven by the goals of "carbon peaking and carbon neutrality", the large-scale integration of renewable energy into the receiving-end power grid, coupled with the increasing proportion of external electricity, has made it more difficult to balance ...
Shuai WANG, Yuehui HUANG, Yuanhong NIE, Siyang LIU   +3 more
doaj   +1 more source

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli   +2 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source