Results 61 to 70 of about 215,326 (298)

Short term energy forecasting techniques for virtual power plants [PDF]

, 2016
YesThe advent of smart meter technology has enabled periodic monitoring of consumer energy consumption. Hence, short term energy forecasting is gaining more importance than conventional load forecasting.
Pillai, Prashant, Rajamani, Haile S., Ravichandran, S., Swarup, K.S., Vijayalakshmi, A.   +4 more
core   +1 more source

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

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

, 2007
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. REE's forecasting system consists of one daily model and 24 hourly models with a common
Cancelo, José Ramón, Espasa, Antoni, Grafe, Rosmarie   +2 more
core   +1 more source

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

, 2008
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. REE's forecasting system consists of one daily model and 24 hourly models with a common
Cancelo, José Ramón, Espasa, Antoni, Grafe, Rossmarie   +2 more
core   +4 more sources

Short Term Load Forecasting using Metaheuristic Techniques

IOP Conference Series: Materials Science and Engineering, 2021
Abstract The power systems are important by using short term load forecasting (STLF) because it predicts the load in 24 hours ahead or a week ahead. The artificial neural network (ANN) using short term load forecasting brings good result in the predicted load because of its accurateness, easiness in the processing of data, construction ...
Saroj Kumar Panda, Papia Ray, Debani Prasad Mishra   +2 more
openaire   +1 more source

Day-ahead Short-Term Load Forecasting for Holidays Based on Modification of Similar Days’ Load Profiles

IEEE Access, 2022
Short-term load forecasting (STLF) is necessary for system operators; however, its difficulty has been increasing since distributed resources, particularly behind-the-meter (BTM) PV resources, have been introduced to power systems.
J. Son, Jiwon Cha, Hyunsun Kim, Young-Min Wi   +3 more
semanticscholar   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

Short-Term Load Forecasting in Smart Grids Using Hybrid Deep Learning

IEEE Access
Load forecasting in Smart Grids (SG) is a major module of current energy management systems, that play a vital role in optimizing resource allocation, improving grid stability, and assisting the combination of renewable energy sources (RES).
Mashael M. Asiri, Ghadah Aldehim, F. Alotaibi, M. Alnfiai, Mohammed Assiri, Ahmed Mahmud   +5 more
semanticscholar   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Assessing and comparing short term load forecasting performance

Energies, 2020
When identifying and comparing forecasting models, there may be a risk that poorly selected criteria could lead to wrong conclusions. Thus, it is important to know how sensitive the results are to the selection of criteria. This contribution aims to study the sensitivity of the identification and comparison results to the choice of criteria.
Koponen, Pekka, Ikäheimo, Jussi, Koskela, Juha, Brester, Christina, Niska, Harri   +4 more
openaire   +3 more sources