Results 31 to 40 of about 527,315 (302)
DE-Optimized Hybrid ARIMA-LSTM for Long Term Electricity Load Forecasting
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems)Accurate long-term electricity load forecasting was essential for efficient energy planning and infrastructure development. This study addressed forecasting challenges in rapidly growing regions, such as East Java, where electricity demand was ...
Nanda Azizah Mardotillah +2 more
doaj +1 more source
Seasonal dynamic factor analysis and bootstrap inference : application to electricity market forecasting [PDF]
, 2008 Year-ahead forecasting of electricity prices is an important issue in the current context of electricity markets. Nevertheless, only one-day-ahead forecasting is commonly tackled up in previous published works.
Alonso, Andrés M. +3 more
core +2 more sources
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
, 2018 We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks perform inference of high-dimensional dynamical systems in their reduced ...
Byeon, Wonmin +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
Forecasting Air Quality Indeks Using Long Short Term Memory
Journal of Applied Informatics and ComputingExercise offers significant physical and mental health benefits. However, undetected air pollution can have a negative impact on individual health, especially lung health when doing physical activity in crowded sports venues.
Irfan Wahyu Ramadhani +7 more
doaj +1 more source
Spatial-Temporal Correlation Neural Network for Long Short-Term Demand Forecasting During COVID-19
IEEE Access, 2023 Demand forecasting is an important method for dealing with the supply-demand relationship in social resource management. The demands of daily life discussed in this study are mainly about hotels, restaurants, gas stations, drugstores, shopping malls, etc.
Xiaochuan Guo, Wenbo Xie, Xin Li
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2019 The object of the research is the production processes implemented at NPP of the SE NNEGC "Energoatom". The subject of the research is planned preventive repairs of the equipment of NPP power units.
S. Ye. Saukh, A. V. Borysenko
doaj +1 more source