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   Articles with "hybrid algorithms" as a keyword



Improved pollution forecasting hybrid algorithms based on the ensemble method

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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

Performance Comparison of Metaheuristic and Hybrid Algorithms Used for Energy Cost Minimization in a Solar–Wind–Battery Microgrid

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recommendations! Published in 2025 at "Sustainability"

DOI: 10.3390/su17198849

Abstract: The integration of renewable energy sources has become a strategic necessity for sustainable energy management and supply security. This study evaluates the performance of eight metaheuristic optimization algorithms in scheduling a renewable-based smart grid system… read more here.

Keywords: solar wind; energy; energy cost; hybrid algorithms ... See more keywords