Results 91 to 100 of about 29,272 (313)
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 +2 more
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Evolutionary learning driven load forecasting and demand response management model for smart grid [PDF]
The smart meter data generated from the customers' usage help utility providers to manage and control the electricity distribution among the customers for reliable services in the smart grid.
Saxena, D +4 more
core +1 more source
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
A neural network and rule based system application in water demand forecasting [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.This thesis describes a short term water demand forecasting application that is based upon a combination of a neural network forecast generator and a ...
Hartley, Joseph Alan, Hartley, J.A
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Neural networks for GEFCom2017 probabilistic load forecasting
This report describes the forecasting model which was developed by team "4C" for the global energy forecasting competition 2017 (GEFCom2017), with some modifications added afterwards to improve its accuracy.
Dimoulkas, Ilias, +2 more
core +1 more source
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source
Modeling and forecasting electricity loads: A comparison [PDF]
In this paper we study two statistical approaches to load forecasting. Both of them model electricity load as a sum of two components – a deterministic (representing seasonalities) and a stochastic (representing noise).
Rafal Weron, Adam Misiorek
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Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Correção dos erros de previsão de carga elétrica de curto prazo decorrentes de variações de temperatura na Ilha de Santa Catarina utilizando rede neural [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2013.Este trabalho apresenta primeiramente uma pesquisa que tem como foco a investigação da relação da
Souza, Luiz Fernando Spillere de
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Neural network ensemble operators for time series forecasting [PDF]
The combination of forecasts resulting from an ensemble of neural networks has been shown to outperform the use of a single ``best'' network model.
Barrow, Devon K.; id_orcid +8 more
core +1 more source

