Modeling a hybrid methodology for evaluating and forecasting regional energy efficiency in China
Sign Up to like & getrecommendations! Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2015.11.082
Abstract: This study proposes a new hybrid methodology for short-term prediction of energy efficiency. This new method consists of the stochastic frontier analysis-generalised autoregressive conditional heteroskedasticity (SFA-GARCH) model and the radial basis function neural (RBFN) model.… read more here.
Keywords: methodology; energy; hybrid methodology; model ... See more keywords
A hybrid methodology using finite elements and neural networks for the analysis of adhesive anchors exposed to hurricanes and adverse environments
Sign Up to like & getrecommendations! Published in 2020 at "Engineering Structures"
DOI: 10.1016/j.engstruct.2020.110505
Abstract: Abstract Hurricanes are responsible for approximately $28bn of damage every year in the United States alone, which may reach $151bn by 2075 due to the intensification of climate change according to certain prediction models. Approximately… read more here.
Keywords: methodology; adverse environments; hybrid methodology; concrete ... See more keywords
Hybrid methodology based on Bayesian optimization and GA-PARSIMONY to search for parsimony models by combining hyperparameter optimization and feature selection
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.05.136
Abstract: Abstract This article presents a hybrid methodology that combines Bayesian optimization (BO) with a constrained version of the GA-PARSIMONY method to obtain parsimony models. The proposal is designed to reduce the sizeable computational effort associated… read more here.
Keywords: parsimony models; hybrid methodology; methodology; bayesian optimization ... See more keywords
Forecasting dengue epidemics using a hybrid methodology
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.121266
Abstract: Abstract Dengue case management is an alarmingly important global health issue. The effective allocation of resources is often difficult due to external and internal factors imposing nonlinear fluctuations in the prevalence of dengue fever. We… read more here.
Keywords: hybrid methodology; methodology; time series; dengue ... See more keywords
A Hybrid Methodology for Short Term Temperature Forecasting
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Intelligent Systems"
DOI: 10.4236/ijis.2020.103005
Abstract: Developing a reliable weather forecasting model is a complicated task, as it requires heavy IT resources as well as heavy investments beyond the financial capabilities of most countries. In Lebanon, the prediction model used by… read more here.
Keywords: methodology; temperature; hybrid methodology; five days ... See more keywords