Improved pollution forecasting hybrid algorithms based on the ensemble method
Sign Up to like & getrecommendations! Published in 2019 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2019.04.032
Abstract: Abstract In a new fine particle concentrations forecasting model, the Hampel identifier outlier correction preprocessing detects and corrects the outliers in the original series. Empirical wavelet transform method decomposes the corrected series into a set… read more here.
Keywords: pollution forecasting; ensemble method; method; forecasting hybrid ... See more keywords
Improved hybrid algorithms‐based MPPT algorithm for PV system operating under severe weather conditions
Sign Up to like & getrecommendations! Published in 2019 at "IET Power Electronics"
DOI: 10.1049/iet-pel.2018.5651
Abstract: This study aims to provide a comparison between several maximum power point tracking (MPPT) algorithms for PV system under severe weather conditions. Two MPPT hybrid algorithms are proposed, namely (a) hybrid combination of fuzzy logic… read more here.
Keywords: improved hybrid; system; severe weather; weather conditions ... See more keywords
Efficient hybrid algorithms to solve mixed discrete-continuous optimization problems: A comparative study
Sign Up to like & getrecommendations! Published in 2018 at "Engineering Computations"
DOI: 10.1108/ec-03-2017-0103
Abstract: In real-world cases, it is common to encounter mixed discrete-continuous problems where some or all of the variables may take only discrete values. To solve these non-linear optimization problems, the use of finite element methods… read more here.
Keywords: discrete continuous; continuous optimization; mixed discrete; optimization ... See more keywords
Hybrid algorithms for generating optimal designs for discriminating multiple nonlinear models under various error distributional assumptions
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0239864
Abstract: Finding a model-based optimal design that can optimally discriminate among a class of plausible models is a difficult task because the design criterion is non-differentiable and requires 2 or more layers of nested optimization. We… read more here.
Keywords: generating optimal; optimization; optimal design; hybrid algorithms ... See more keywords