MULTI-OBJECTIVE HYBRID OPTIMIZATION FOR OPTIMAL SIZING OF A HYBRID RENEWABLE POWER SYSTEM FOR HOME APPLICATIONS

Multi-Objective Hybrid Optimization for Optimal Sizing of a Hybrid Renewable Power System for Home Applications

An optimal energy mix of various renewable energy sources and storage devices is critical for a profitable and reliable hybrid microgrid system.This work proposes a hybrid optimization method to assess the optimal energy mix of wind, photovoltaic, and battery for a hybrid system development.This study considers the hybridization of a Non-dominant S

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ARE PRICING POLICIES EFFECTIVE TO CHANGE CAR USE?

The effectiveness of transport pricing was considered in two studies regarding intended changes in car use if pricing policies were implemented.In the first study, respondents kept a travel diary for four days, noting all their car trips.Next, they indicated to what extent various pricing policies would affect the trips noted in the diary.In the se

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Genomic and metabolic instability during long-term fermentation of an industrial Saccharomyces cerevisiae strain engineered for C5 sugar utilization

The genetic stability and metabolic robustness of production strains is one of the key criteria for the production of bio-based products by microbial fermentation on an industrial scale.These criteria were here explored in an industrial ethanol-producer strain of Saccharomyces cerevisiae able to co-ferment D-xylose and L-arabinose with glucose thro

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Nonparametric Modelling of Ship Dynamics Using Puma Optimizer Algorithm-Optimized Twin Support Vector Regression

Ship dynamic models serve as the foundation for designing ship controllers, trajectory planning, and obstacle avoidance.Support vector regression (SVR) is a commonly used nonparametric modelling method for ship dynamics.Achieving high accuracy SVR models requires a substantial amount of training samples.Additionally, as the number of training sampl

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