Results 41 to 50 of about 29,272 (313)

FORECASTING HIGH-LOAD SYSTEMS

Ekonomìčnij Vìsnik Nacìonalʹnogo Tehnìčnogo Unìversitetu Ukraïni "Kiïvsʹkij Polìtehnìčnij Institut", 2021
In this article, analytical and prognostic model of the information system load was performed, which in metric terms is based on the number of requests to the system per second. The studied statistical data of this indicator outline the main trajectory of its time series, which allows to find patterns of the past and predict the ...
Zhukovska, O. A., Shperlov, R. V.
openaire   +3 more sources

Exogenous Data for Load Forecasting: A Review [PDF]

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Electrical power load forecasting defines strategies for utilities, power producers and individuals that participate in a smart grid. While it is well established in planning processes for production and utilities, the importance of accurate forecasting increases for individuals. The ongoing deregulation of the electricity market enables energy trading
Ramón Christen, Luca Mazzola, Alexander Denzler, Edy Portmann   +3 more
openaire   +2 more sources

Load forecasting using fuzzy wavelet neural networks

, 2011
Load forecasting is an important component for power system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly ...
Amina, M., Kodogiannis, V.
core   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source

Rescheduling costs and adaptive asymmetric errors guided closed-loop prediction of power loads in mine integrated energy systems

Energy and AI
The development of an integrated energy system for mining that efficiently recycles multiple resources is a crucial strategy for achieving dual carbon reduction targets in the mining sector.
Qi Miao, Xiaoyan Sun, Chen Ma, Yong Zhang, Dunwei Gong   +4 more
doaj   +1 more source

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

Forecasting Electric Load Demand through Advanced Statistical Techniques

, 2020
Traditional forecasting models have been widely used for decision-making in production, finance and energy. Such is the case of the ARIMA models, developed in the 1970s by George Box and Gwilym Jenkins [1], which incorporate characteristics of the past ...
Colombia, Bayesian methods, Decision making, Electric load forecasting, Electric load demands, Bayesian networks, Statistical techniques, Forecasting models   +7 more
core   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +1 more source

A Hybrid Double Forecasting System of Short Term Power Load Based on Swarm Intelligence and Nonlinear Integration Mechanism

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