Results 31 to 40 of about 72,416 (315)

Wind forecasting using Principal Component Analysis

, 2014
We present a new statistical wind forecasting tool based on Principal Component Analysis (PCA), which is trained on past data to predict the wind speed using an ensemble of dynamically similar past events.
Fruh, Wolf-Gerrit; id_orcid, C. Skittides, Skittides, Christina, W.-G. Früh   +3 more
core   +1 more source

Solar photovoltaic power forecasting for microgrid energy management system using an ensemble forecasting strategy

, 2022
Solar photovoltaic (PV) power production is always unpredictable due to intermittent solar irradiance and weather parameters which pose a major challenge in microgrid energy management systems (M-EMS).
Metwally, ASM, Ahmed Sayed M. Metwally, Tayab, UB, Lu, J, Usman Bashir Tayab, Fuwen Yang, Junwei Lu, Yang, F   +7 more
core   +1 more source

Short-term photovoltaic power forecasting method based on irradiance correction and error forecasting

Energy Reports, 2021
Accurate photovoltaic (PV) power forecasting is of great significance for safe and stable operation for PV power plant and reasonable dispatching of power grids, and it is also a fundamental technology to ensure the high ratio of PV power generation ...
Yanhong Ma, Qingquan Lv, Ruixiao Zhang, Yanqi Zhang, Honglu Zhu, Wansi Yin   +5 more
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

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, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

A Lightweight Terrain‐Constraint Model for Wind Spatial Downscaling

Journal of Geophysical Research: Machine Learning and Computation
High‐resolution wind fields has always been the goal of refined meteorological forecasting. Using advanced deep learning algorithms for wind downscaling is an effective approach to achieve this goal. However, the lack of physical process understanding in
Anboyu Guo, Qiyang Liu, Jiuke Wang, Yuanyong Gao, Lixin Wei, Xiaojiang Song, Chi Zhang, Kai Liu, Shuping Ma, Jiu Jiang   +9 more
doaj   +1 more source

The Forecasting Power of the Ifo Business Survey [PDF]

SSRN Electronic Journal, 2020
AbstractThe ifo Institute is Germany’s largest business survey provider, with the ifo Business Climate Germany as one of the most important leading indicators for gross domestic product. However, the ifo Business Survey is not solely limited to the Business Climate and also delivers a multitude of further indicators to forecast several important ...
openaire   +3 more sources

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

Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey

Gazi Üniversitesi Fen Bilimleri Dergisi
Hydroelectric power is a significant renewable energy source for the development of countries. However, climatic data can impact power generation in hydroelectric power plants.
Feyza Nur Çakıcı , Suleyman Sungur Tezcan, Hıdır Düzkaya   +2 more
doaj   +1 more source

A Novel Wind Power Forecast Model: Statistical Hybrid Wind Power Forecast Technique (SHWIP)

IEEE Transactions on Industrial Informatics, 2015
As the result of increasing population and growing technological activities, nonrenewable energy sources, which are the main energy providers, are diminishing day by day. Due to this factor, efforts on efficient utilization of renewable energy sources have increased all over the world.
Mehmet Baris Özkan, Pinar Karagoz
openaire   +2 more sources

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