Results 91 to 100 of about 2,255,502 (294)

A novel wind speed prediction approach based on wind speed fluctuation characteristic extraction and dual decomposition

open access: yesAIP Advances
The accuracy of wind speed forecasting plays a crucial role in the operation of the power grid. However, the intermittency and randomness of wind present significant challenges to the accuracy of wind speed predictions.
Xiong Xiong   +5 more
doaj   +1 more source

Impact of Station Relocation on Observed Surface Wind Measurement Data and Its Application Effectiveness

open access: yes应用气象学报
Surface wind speed time series from national meteorological stations are frequently utilized in studies of wind climate change analysis, wind energy resource assessment, and engineering considerations for wind resistance.
Zhang Yongshan   +3 more
doaj   +1 more source

Evaluation of simple wind power forecasting methods applied to a long-term wind record from Scotland [PDF]

open access: yes, 2012
We present an analysis of the ability to predict the power output from a nominal wind turbine or wind farm a few hours ahead using only locally available data – either the current and recent wind speed or power output. A third method combines the current
Fruh, Wolf-Gerrit; id_orcid
core  

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

open access: yesMolecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder   +10 more
wiley   +1 more source

Optimal Management of a Wind/CAES Power Plant by means of Neural Network Wind Speed Forecast

open access: yes, 2007
Some of the major limitations of renewable energy sources are represented by their low power density and intermittent nature, largely depending upon local site and unpredictable weather conditions. These problems concur to increase the unit costs of wind
Vincenzo Marano   +7 more
core  

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

Vertical Wind Profile Characterization and Identification of Patterns Based on a Shape Clustering Algorithm

open access: yesIEEE Access, 2019
Wind power plants are becoming a generally accepted resource in the generation mix of many utilities. At the same time, the size and the power rating of individual wind turbines have increased considerably.
Angel Molina-Garcia   +4 more
doaj   +1 more source

Wind forecasting using Principal Component Analysis [PDF]

open access: yes, 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   +3 more
core   +1 more source

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