Results 51 to 60 of about 5,303,939 (309)

Asset Bundling for Wind Power Forecasting

CoRR, 2023
The growing penetration of intermittent, renewable generation in US power grids, especially wind and solar generation, results in increased operational uncertainty. In that context, accurate forecasts are critical, especially for wind generation, which exhibits large variability and is historically harder to predict.
Hanyu Zhang, Mathieu Tanneau, Chaofan Huang, V. Roshan Joseph, Shangkun Wang, Pascal Van Hentenryck   +5 more
openaire   +2 more sources

Radial basis function neural network based short-term wind power forecasting with Grubbs test

, 2011
Accurate prediction on wind power generation plays an important role in power system dispatching and wind farm operation. The Radial Basis Function (RBF) neural network, owing to its superior performance of linear/nonlinear algorithm with respect to fast
Fushuan Wen, Hong, Binzhuo, Peng, Xiangang, Jiansheng Huang, Xiaomei Wu, Binzhuo Hong, Wen, Fushuan, Huang, Jiansheng (R9337), Xiangang Peng, Wu, Xiaomei   +9 more
core   +1 more source

Probabilistic reference model for hourly PV power generation forecasting [PDF]

, 2020
This paper presents a new probabilistic forecasting model of the hourly mean power production in a Photovoltaic (PV) plant. It uses the minimal information and it can provide probabilistic forecasts in the form of quantiles for the desired horizon, which
Sonia Terreros-Olarte, Alberto Falces, L. Alfredo Fernandez-Jimenez, Zorzano-Alba, Enrique [0000-0002-3143-4982], Falces, Alberto [0000-0002-4926-0263], Enrique Zorzano-Alba, Pedro M. Lara-Santillan, Pedro J. Zorzano-Santamaria, Zorzano-Santamaria, Pedro J. [0000-0003-1759-2674], Fernandez-Jimenez, L. Alfredo [0000-0002-5633-4849], Lara-Santillan, Pedro M. [0000-0002-9315-8637], Terreros-Olarte, Sonia, Zorzano-Alba, Enrique, Fernandez-Jimenez, L. Alfredo, Zorzano-Santamaria, Pedro J., Falces, Alberto, Lara-Santillan, Pedro M.   +16 more
core   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

Probabilistic Risk Assessment in Power Systems With High Wind Energy Penetration

IEEE Access
Power systems are increasingly confronted with operational uncertainties. These stem from the integration of wind and solar energy sources with inherently stochastic generation behavior.
Mahmoud Draz, Fabian Pagel, Sahin Albayrak   +2 more
doaj   +1 more source

Extreme Learning Machine-Based Power Forecasting in Photovoltaic Systems

IEEE Access, 2023
With the consuming of fossil fuels, sustainable alternative sources are needed for energy production. Renewable energy is an important source in the fight against climate change and provides economic benefits by increasing energy security.
Zeynep Bala Duranay
doaj   +1 more source

Short-term industrial reactive power forecasting

, 2019
Reactive power forecasting is essential for managing energy systems of factories and industrial plants. However, the scientific community has devoted scant attention to industrial load forecasting, and even less to reactive power forecasting.
Hong, Tao, Bracale, Antonio, Bracale Antonio, Carpinelli Guido, De Falco Pasquale, De Falco, Pasquale, Carpinelli, Guido, Hong Tao   +7 more
core   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Wavelet decomposition and neural networks: a potent combination for short term wind speed and power forecasting

Frontiers in Energy Research
The forecast of wind speed and the power produced from wind farms has been a challenge for a long time and continues to be so. This work introduces a method that we label as Wavelet Decomposition-Neural Networks (WDNN) that combines wavelet decomposition
Adaiyibo E. Kio, Jin Xu, Natarajan Gautam, Yu Ding, Yu Ding   +4 more
doaj   +1 more source