Results 131 to 140 of about 14,317 (308)
MODE – REGRESSION BASED MODEL FOR SHORT TERM LOAD FORECASTING
Ahmad Al-Subhi, Chokri Belhadj Ahmad
doaj +1 more source
A clustering-based fuzzy wavelet neural network model for short-term load forecasting
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
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]
Shao L, Guo Q, Li C, Li J, Yan H.
europepmc +1 more source
Short-Term Load Forecasting With Exponentially Weighted Methods
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
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
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
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
The Short-Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China. [PDF]
Dong H, Gao Y, Fang Y, Liu M, Kong Y.
europepmc +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
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

