Results 261 to 270 of about 72,416 (315)

A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection

Advanced Engineering Materials, EarlyView.
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan, Shuvra Saha, Sumit Hassan Eshan, Rinku Basak, Md. Nahian Al Subri Ivan, Ahmed Murtuza Saleque, Raja Tariqul Hasan Tusher, Sadia Zabin, Md. Abdur Rahman, Yuen Hong Tsang   +9 more
wiley   +1 more source

A Combined Persistence and Physical Approach for Ultra-Short-Term Photovoltaic Power Forecasting Using Distributed Sensors. [PDF]

Sensors (Basel)
Malinkovich Y, Sitbon M, Lineykin S, Dagan KJ, Baimel D.   +4 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Hybrid attention-based deep neural networks for short-term wind power forecasting using meteorological data in desert regions. [PDF]

Sci Rep
Belletreche M, Bailek N, Abotaleb M, Bouchouicha K, Zerouali B, Guermoui M, Kuriqi A, Alharbi AH, Khafaga DS, El-Shimy M, El-Kenawy EM.   +10 more
europepmc   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

An analysis of case studies for advancing photovoltaic power forecasting through multi-scale fusion techniques. [PDF]

Sci Rep
Guermoui M, Fezzani A, Mohamed Z, Rabehi A, Ferkous K, Bailek N, Bouallit S, Riche A, Bajaj M, Dost Mohammadi SA, Ali E, Ghoneim SSM.   +11 more
europepmc   +1 more source

Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine [PDF]

IEEE Transactions on Power Systems, 2014
Accurate and reliable forecast of wind power is essential to power system operation and control. However, due to the nonstationarity of wind power series, traditional point forecasting can hardly be accurate, leading to increased uncertainties and risks ...
Can Wan, Zhao Xu, Pierre Pinson
exaly   +2 more sources

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Building power demand forecasting

it - Information Technology, 2016
Abstract Buildings acting as flexible loads have been often proposed to mitigate the volatility of renewable energy sources. Thereby, an accurate short-term demand forecast is indispensable for effective demand side management. At the same time, standardized load profiles, commonly used in the distribution grid, are inadequate for load ...
Valgaev, Oleg, Kupzog, Friederich
openaire   +3 more sources

A Fast and Stable Forecasting Model to Forecast Power Load

International Journal of Pattern Recognition and Artificial Intelligence, 2015
As the traditional gray forecasting model GM(1, 1) has poor performance in forecasting the fast-growing power load, we present a chaotic co-evolutionary particle swarm optimization (CCPSO) algorithm, one with better efficiency than the PSO algorithm. Based on the GM(1, 1) model, the CCPSO algorithm is adopted to solve the values of parameters a and b ...
Li-Zhi Tan, Aijia Ouyang, Xuyu Peng, Er-Xi Li, Tung Khac Truong, Libo Hao   +5 more
openaire   +1 more source

Wind Power Forecasting

2014
The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble modeling with artificial intelligence methods. This state-of-the-science forecasting system includes specific technologies for short-term detection of wind power ramps, including a Variational ...
Sue Ellen Haupt, William P. Mahoney, Keith Parks   +2 more
openaire   +2 more sources