Short-term forecasting - Open Access .click

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Modelling and forecasting short-term electricity load: a two step methodology [PDF]

The goal of this paper is to develop a forecasting model of the hourly electricity load demand in the area covered by an utility company located in the southeast of Brazil.
Lacir J. Soares, Marcelo Cunha Medeiros
core

Spatiotemporal traffic-flow dependency and short-term traffic forecasting

, 2008
Short-term traffic forecasting is playing an increasing role in modern transport management. Although many short-term traffic forecasting methods have been explored, the spatiotemporal dependency of traffic flow, an important characteristic of traffic ...
Yue, Y, Yeh, AGO
core +1 more source

Retraction Note: Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM. [PDF]

Soft comput, 2023
Rauf HT, Gao J, Almadhor A, Arif M, Nafis MT. +4 more
europepmc +1 more source

Dual native G‐quadruplex folding is associated with chromatin looping at the MYC locus

FEBS Open Bio, EarlyView.
BG4‐detectable G‐quadruplex (G4) in HaCaT and NHEK keratinocytes identified folded and unfolded G4s enriched at promoters/TSSs and active enhancers, whereas unfolded G4s also overlapped weak/poised enhancers. At MYC–PVT1, 3C‐qPCR detected enhancer–promoter looping only when G4s were simultaneously folded at both regulatory elements under native ...
Dieila Giomo de Lima +7 more
wiley +1 more source

Avidin is evolutionarily conserved in fish but dispensable for development and resistance against Streptococcus agalactiae in zebrafish

FEBS Open Bio, EarlyView.
The presence of biotin‐binding avidin proteins in fish and their biological significance are poorly characterized. We cataloged fish avidins and demonstrate that they are widely present and evolutionarily conserved. We created avd knockout zebrafish and show that zebavidin is dispensable for development and that resistance of avd knockout embryos in ...
Anni K. Saralahti +5 more
wiley +1 more source

Neural network based on dynamic multi-swarm particle Swarm optimizer for ultra-short-term load forecasting

, 2014
Ultra-Short-Term Load Forecasting plays an important role in Power Load Forecasting. Back Propagation Neural Network(BPNN) has become one of the most commonly used methods in Power System Ultra-Short-Term Load Forecasting for its ability of computing ...
Kai Qin (293713) +4 more
core

Short-term forecasting of COVID-19 using support vector regression: An application using Zimbabwean data. [PDF]

Am J Infect Control, 2023
Shoko C, Sigauke C.
europepmc +1 more source

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source

A minimal cellulosome‐like system in Cellulosilyticum lentocellum

FEBS Open Bio, EarlyView.
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan, Amias Alstrom‐Moore, Gary W Black +2 more
wiley +1 more source

MODE – REGRESSION BASED MODEL FOR SHORT TERM LOAD FORECASTING

Yanbu Journal of Engineering and Science, 2021
Ahmad Al-Subhi, Chokri Belhadj Ahmad
doaj +1 more source

short term load forecasting
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