, 2015 Wind power forecasting is essential for the integration of large amounts of wind power into the electric grid, especially during large rapid changes of wind generation.
Martínez-Arellano, G
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Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer
Aging and Cancer, EarlyView.Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss +12 more
wiley +1 more source
From Lidar Measurement to Rotor Effective Wind Speed Prediction: Empirical Mode Decomposition and Gated Recurrent Unit Solution. [PDF]
Sensors (Basel), 2023 Shi S, Liu Z, Deng X, Chen S, Song D.
europepmc +1 more source
The Gaussian Statistical Predictability of Wind Speeds
Journal of Climate, 2013 Abstract The statistical predictability of wind speed using Gaussian predictors, relative to the predictability of orthogonal vector wind components, is considered. With the assumption that the vector wind components are Gaussian, analytic expressions for the correlation-based wind speed prediction skill are obtained in terms of the ...
openaire +1 more source
Optimal Management of a Wind/CAES Power Plant by means of Neural Network Wind Speed Forecast
, 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
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Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Determining the number of hidden layer and hidden neuron of neural network for wind speed prediction. [PDF]
PeerJ Comput Sci, 2021 Rachmatullah MIC, Santoso J, Surendro K.
europepmc +1 more source
CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang +6 more
wiley +1 more source
Short-term forecast of wind power based on the division of wind speed fluctuation characteristics
Diance yu yibiaoIn order to solve the problem that the wind power is difficult to predict accurately due to the drastic change of wind speed, a short-term wind power prediction method based on the division of wind speed fluctuation characteristics is proposed.
QIAO Titang +4 more
doaj +1 more source
Investigation of Data Size Variability in Wind Speed Prediction Using AI Algorithms. [PDF]
Cybern Syst, 2021 Ehsan MA +3 more
europepmc +1 more source