Results 41 to 50 of about 29,295 (312)

Long-term wind resource and uncertainty estimation using wind records from Scotland as example [PDF]

, 2012
A systematic analysis of the sensitivity of a wind turbine’s output to changes in observed wind statistics between different sites in Scotland over available wind records of up to 43 years length was performed.
Fruh, Wolf-Gerrit; id_orcid
core   +1 more source

Wind Speed Prediction Model Based on Improved VMD and Sudden Change of Wind Speed

Sustainability, 2022
An accurate wind speed prediction system is of great importance prerequisite for realizing wind power grid integration and ensuring the safety of the power system. Quantifying wind speed fluctuations can better provide valuable information for power dispatching. Therefore, this paper proposes a deterministic wind speed prediction system and an interval
Shijun Wang, Chun Liu, Kui Liang, Ziyun Cheng, Xue Kong, Shuang Gao   +5 more
openaire   +1 more source

Wind Speed Prediction Based on Wavelet Decomposition and the Fractal-Based LSTM Method

Fractal and Fractional
Accurate wind speed prediction is essential for wind power generation and wind-resistant structural design. In this research, a short-term wind speed prediction model that combines the wavelet decomposition (WD) method and a fractal-based long short-term
Dandan Xia, Shaokun Shi, Yongchen Peng, Zhiqun Yuan, Li Lin   +4 more
doaj   +1 more source

Deep Graph Convolutional Networks for Wind Speed Prediction

ESANN 2021 proceedings, 2021
10 pages, 8 ...
Tomasz Stanczyk, Siamak Mehrkanoon
openaire   +4 more sources

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

Analysis of Wind Speed Characteristics Along a High-Speed Railway

Applied Sciences
The safe operation of high-speed railways (HSRs) is significantly challenged by strong winds. Accurate wind speed prediction along HSRs is crucial for ensuring the safety of train operations.
Xin Chen, Xiaoling Ye, Yingchao Zhang, Xiong Xiong   +3 more
doaj   +1 more source

Short-term wind speed prediction based on feature extraction with Multi-task Lasso and Multilayer Perceptron

Energy Reports, 2022
The vigorous development of wind energy will help to promoting the adjustment of energy structure, the control of atmospheric smog, and the transformation of economic development mode.
Hui Wang, Jilong Wang
doaj   +1 more source

Prediction of Wind Speed Using Hybrid Techniques

, 2020
This paper presents a methodology to calculate day-ahead wind speed predictions based on historical measurements done by weather stations. The methodology was tested for three locations: Colombia, Ecuador, and Spain. The data is input into the process in
Ingrid Oliveros, Giovanny Salazar, Luis Torres, Lacides Ripoll, Jose Soto, Santiago Cantillo, Luis Lopez   +6 more
core   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

Wind forecasting using Principal Component Analysis

, 2014
We present a new statistical wind forecasting tool based on Principal Component Analysis (PCA), which is trained on past data to predict the wind speed using an ensemble of dynamically similar past events.
Fruh, Wolf-Gerrit; id_orcid, C. Skittides, Skittides, Christina, W.-G. Früh   +3 more
core   +1 more source