Exploring Time Series Models for Wind Speed Forecasting: A Comparative Analysis
The sustainability and efficiency of the wind energy industry rely significantly on the accuracy and reliability of wind speed forecasting, a crucial concern for optimal planning and operation of wind power generation.
Siqi Shen +3 more
core +1 more source
CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages
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
Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi +19 more
wiley +1 more source
Hour-Ahead Wind Speed and Power Forecasting Using Empirical Mode Decomposition
Operation of wind power generation in a large farm is quite challenging in a smart grid owing to uncertain weather conditions. Consequently, operators must accurately forecast wind speed/power in the dispatch center to carry out unit commitment, real ...
Ying-Yi Hong, Ti-Hsuan Yu, Ching-Yun Liu
doaj +1 more source
A vector auto-regressive model for onshore and offshore wind synthesis incorporating meteorological model information [PDF]
The growth of wind power production in the electricity portfolio is striving to meet ambitious targets set, for example by the EU, to reduce greenhouse gas emissions by 20% by 2020. Huge investments are now being made in new offshore wind farms around UK
D. Infield +7 more
core +1 more source
Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer. [PDF]
Xinxin W, Xiaopan S, Xueyi A, Shijia L.
europepmc +1 more source
A short-term ensemble wind-speed forecasting system for wind power applications
Accurate short-term wind speed forecasts for utility-scale wind farms will be crucial for the U.S. Department of Energy’s (DOE) goal of providing 20% of total power from wind by 2030.
Traiteur, Justin J.
core
Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz +3 more
wiley +1 more source
Short-Term Wind Speed Forecasting With Deep Learning
Wind speed forecasting is crucial for planning and investing in renewable wind energy. In addition, Wind speed forecasting is essential for planning renewable wind energy, optimizing wind power production, and enhancing transmission line capacities ...
Muzaffer Aslan +2 more
doaj +1 more source

