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Power Management of Hybrid Grid System With Battery Deprivation Cost Using Artificial Neural Network
(
Frontiers Media S.A.
, 2021 , Article)
Continuous power supply in an integrated electric system supplied by solar energy and battery storage can be optimally maintained with the use of diesel generators. This article discusses the optimum setting-point for ...
Modulation with metaheuristic approach for cascaded-MPUC49 asymmetrical inverter with boosted output
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
This work introduces a 49-level Asymmetrical Inverter (AMLI) with boosted output based on the cascaded operation of two 7-Level Modified Packed U-Cell inverters (MPUC-7). The converter is capable of operation with a boosted ...
Shear capacity of reinforced concrete deep beams using genetic algorithm
(
IOP Publishing Ltd
, 2020 , Conference Paper)
It is vital to understand the shear behaviour of reinforced concrete (RC) beams in order to avoid a catastrophic shear failure and design for ductile failure. However, due to the complexity in the shear failure mechanism ...
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
(2022 , Software)
In this paper, we present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target ...
Optimal sampling design for spatial capture–recapture
(
Wiley-Blackwell
, 2020 , Article)
Spatial capture–recapture (SCR) has emerged as the industry standard for estimating population density by leveraging information from spatial locations of repeat encounters of individuals. The precision of density estimates ...
Parametric Estimation from Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The nonlinearity behaviour of magnetorheological fluid (MRF) can be described using a number of established models such as Bingham and Modified Bouc-Wen models. Since these models require the identification of model ...