Results 51 to 60 of about 180,214 (295)
A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting
Energies, 2018 One of the most important research topics in smart grid technology is load forecasting, because accuracy of load forecasting highly influences reliability of the smart grid systems.
Ping-Huan Kuo, Chiou-Jye Huang
doaj +1 more source
Evaluating load balancing policies for performance and energy-efficiency [PDF]
, 2016 Nowadays, more and more increasingly hard computations are performed in challenging fields like weather forecasting, oil and gas exploration, and cryptanalysis.
Berg, Freek van den +2 more
core +4 more sources
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
Applied Sciences, 2020 Accurate and reliable power load forecasting not only takes an important place in management and steady running of smart grid, but also has environmental benefits and economic dividends.
Ping Jiang, Ying Nie
doaj +1 more source
LSTM-RNN-FNN Model for Load Forecasting Based on Deleuze’s Assemblage Perspective
Frontiers in Energy Research, 2022 Reliable load forecasting is essential for electricity generation and even for people’s lives. However, the existing load forecasting theories cannot match the requirements of complex systems (e.g., smart grids).
Jie Xin, Zhenyu Wei, Yujie Dong, Wan Ni
doaj +1 more source
, 2017 In this paper, a short-term load forecasting approach based network reconfiguration is proposed in a parallel manner. Specifically, a support vector regression (SVR) based short-term load forecasting approach is designed to provide an accurate load ...
Gu, Yi +5 more
core +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
Forecasting from one day to one week ahead for the Spanish system operator [PDF]
, 2007 This paper discusses the building process and models used by Red Eléctrica de España (REE), the Spanish system operator, in short-term electricity load forecasting. REE's forecasting system consists of one daily model and 24 hourly models with a common
Cancelo, José Ramón +2 more
core +1 more source
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production [PDF]
, 2003 This paper presents a study of the influence of the accuracy of hourly load forecasting on the energy planning and operation of electric generation utilities.
A. Troncoso Lora +7 more
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source