Results 131 to 140 of about 14,317 (308)

MODE – REGRESSION BASED MODEL FOR SHORT TERM LOAD FORECASTING

open access: yesYanbu Journal of Engineering and Science, 2021
Ahmad Al-Subhi, Chokri Belhadj Ahmad
doaj   +1 more source

A clustering-based fuzzy wavelet neural network model for short-term load forecasting

open access: yes, 2013
Load forecasting is a critical element of power system operation, involving prediction of the future level of demand to serve as the basis for supply and demand planning.
Kodogiannis, Vassilis S.   +5 more
core   +1 more source

Onasemnogene Abeparvovec in Type I Spinal Muscular Atrophy: 24‐Month Follow‐Up From the Italian Registry

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Onasemnogene abeparvovec (OA) is an AAV9‐based gene therapy for spinal muscular atrophy type I (SMA I). Real‐world outcomes show increased response variability compared to clinical trials, and follow‐up data beyond 12–18 months are limited.
Marika Pane   +43 more
wiley   +1 more source

Short-Term Load Forecasting Based on EEMD-WOA-LSTM Combination Model. [PDF]

open access: yesAppl Bionics Biomech, 2022
Shao L, Guo Q, Li C, Li J, Yan H.
europepmc   +1 more source

Short-Term Load Forecasting With Exponentially Weighted Methods

open access: yesIEEE Transactions on Power Systems, 2012
Short-term load forecasts are needed for the efficient management of power systems. Although weather-based modeling is common, univariate models can be useful when the lead time of interest is less than one day. A class of univariate methods that has performed well with intraday data is exponential smoothing.
openaire   +2 more sources

Short-term electric load forecasting in microgrids: Issues and challenges

open access: yes, 2018
This paper compares performance of three well-known short-term load forecasting (STLF) methodologies in microgrid applications. The chosen methods include: I) seasonal auto-regressive integrated moving average with exogenous variables, ii) neural ...
Kianoush Emami (9794627)   +3 more
core  

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi   +8 more
wiley   +1 more source

Fusion Forecasting Algorithm for Short-Term Load in Power System

open access: yesEnergies
Short-term load forecasting plays an important role in power system scheduling, optimization, and maintenance, but no existing typical method can consistently maintain high prediction accuracy.
Tao Yu   +4 more
doaj   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan   +14 more
wiley   +1 more source

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