Results 141 to 150 of about 8,068,929 (298)
The Short-Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China. [PDF]
Comput Intell Neurosci, 2021 Dong H, Gao Y, Fang Y, Liu M, Kong Y.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
International Journal of Electrical Power & Energy SystemsAccurate short-term net load forecasting is crucial for reliable power system dispatching and operation. To address the forecasting difficulty caused by photovoltaic output fluctuations and typhoon weather, this paper proposes a hybrid indirect ...
Haoyang Fan +5 more
doaj +1 more source
An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting†. [PDF]
Sensors (Basel), 2021 Jung S, Moon J, Park S, Hwang E.
europepmc +1 more source
Short-Term Load Forecasting With Exponentially Weighted Methods
IEEE 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
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
The Short-Term Load Forecasting Using an Artificial Neural Network Approach with Periodic and Nonperiodic Factors: A Case Study of Tai'an, Shandong Province, China. [PDF]
Comput Intell Neurosci, 2021 Sun J, Dong H, Gao Y, Fang Y, Kong Y.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay +13 more
wiley +1 more source
Short-term load estimation based on improved DBN-LSTM
Sustainable Energy ResearchAiming at the rapid change and low forecasting accuracy of short-term power load forecasting, a forecasting model based on the improved deep belief network and long short-term memory network is proposed.
Nan Dong +3 more
doaj +1 more source
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source