Results 111 to 120 of about 113,463 (315)

Forecasting from one day to one week ahead for the Spanish system operator [PDF]

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.
Rosemarie Grafe, Jose Ramon Cancelo, Antoni Espasa   +2 more
core  

A Deep Learning‐Based Long‐Term ENSO Forecasting Model: 3D‐STransformer

Journal of Geophysical Research: Machine Learning and Computation
The El Niño‐Southern Oscillation (ENSO) significantly impacts global climate variability, causing extreme events like droughts, floods, and heatwaves. Accurate prediction of ENSO is critical for managing agriculture, water resources, disaster prevention,
Jie Lian, Xinjiao Wu, Sirong Huang, Zhanyuan Chang   +3 more
doaj   +1 more source

Mitigating Long-Term Forecasting Bias in Time-Series Neural Networks via Ensemble of Short-Term Dependencies

Applied Sciences
Time-series forecasting is essential for predicting future trends based on historical data, with significant applications in meteorology, transportation, and finance.
Jiahui Wang, Wenqian Zhou, Fangshu Chen, Liming Wang, Ruijun Pan, Chengcheng Yu   +5 more
doaj   +1 more source

Enhancing long-term forecasting: Learning from COVID-19 models. [PDF]

PLoS Comput Biol, 2022
Rahmandad H, Xu R, Ghaffarzadegan N.
europepmc   +1 more source

ZW4864‐mediated inhibition of the β‐catenin/BCL9/BCL9L complex reveals therapeutic potential in bladder cancer

Molecular Oncology, EarlyView.
BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi, Mandy Berndt‐Paetz, Eileen Lerner, Gregoire Najjar, Anca Azoitei, Krishna Pal Singh, Shailendra Kumar Gupta, Olaf Wolkenhauer, Cagatay Günes, Otmar Huber, Marc‐Oliver Grimm, Daniel Steinbach   +11 more
wiley   +1 more source

Evaluation of simple wind power forecasting methods applied to a long-term wind record from Scotland [PDF]

, 2012
We present an analysis of the ability to predict the power output from a nominal wind turbine or wind farm a few hours ahead using only locally available data – either the current and recent wind speed or power output. A third method combines the current
Fruh, Wolf-Gerrit; id_orcid
core  

COVID-19 Pandemic Development in Jordan-Short-Term and Long-Term Forecasting. [PDF]

Vaccines (Basel), 2021
Hussein T, Hammad MH, Fung PL, Al-Kloub M, Odeh I, Zaidan MA, Wraith D.   +6 more
europepmc   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

FEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski   +4 more
wiley   +1 more source

Modelling and forecasting Australian domestic tourism [PDF]

In this paper, we model and forecast Australian domestic tourism demand. We use a regression framework to estimate important economic relationships for domestic tourism demand.
Rob J. Hyndman, George Athanasopoulos
core