TCN-LSTM-AM Short-Term Photovoltaic Power Forecasting Model Based on Improved Feature Selection and APO. [PDF]
Ye N, Zhi C, Yu Y, Lin S, Liu F.
europepmc +1 more source
Deep belief rule based photovoltaic power forecasting method with interpretability. [PDF]
Han P, He W, Cao Y, Li Y, Zhang Y.
europepmc +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
Optimizing solar power forecasting with metaheuristic algorithms and deep learning models for photovoltaic grid connected systems. [PDF]
Mohamad Radzi PNL +5 more
europepmc +1 more source
Variational mode decomposition combined fuzzy-Twin support vector machine model with deep learning for solar photovoltaic power forecasting. [PDF]
Balraj G, Victoire AA, S J, Victoire A.
europepmc +1 more source
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
A photovoltaic power forecasting method based on the LSTM-XGBoost-EEDA-SO model. [PDF]
Xu Y, Ji X, Zhu Z.
europepmc +1 more source
A novel pure data-selection framework for day-ahead wind power forecasting. [PDF]
Chen Y, Zhao J, Qin J, Li H, Zhang Z.
europepmc +1 more source
Wind turbines are increasing in popularity as a power source around the world, and are among the cheapest sources of energy. They introduce problems related to the volatile nature of the wind, and the uncertainty of the timing and amount of energy production.
openaire +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

