This research aims to predict PV output power by using different neuro-evolutionary methods. The proposed approach was evaluated by a data set, which was collected at 5-minute intervals in the photovoltaic laboratory of Niroo Research Institute of Iran (Tehran). The data has been divided into three intervals based on the amount of solar irradiation, and different neural networks were used for p...

چکیده:مدیریت توان راکتیو نقش مهمی در بهره برداری سیستم قدرت با هدف کاهش تلفات توان و آزادسازی ظرفیت خطوط انتقال ایفا می نماید. این مسئله انگیزه ای را جهت توسعه بازار توان راکتیو منابع تولید پراکنده در شبکه های توزیع به وجود آورده است. در این مقاله ساختاری جهت قیمت گذاری توان راکتیو منابع تولید پراکنده با در نظر گرفتن تابع هزینه تزریق توان راکتیو آن ها ارائه می شود.  برای این منظور منحنی قیمت تو...

By replacing the selection component, a well researched evolutionary algorithm for scalar optimization problems (SOPs) can be directly used to solve multi-objective optimization problems (MOPs). Therefore, in most of existing multi-objective evolutionary algorithms (MOEAs), selection and diversity maintenance have attracted a lot of research effort. However, conventional reproduction operators ...

Conventional calibration methods used in hydrological modelling are based on runoff observations at the basin outlet. However, with only often produces reasonable but poor results for other variables. Multi-variable both and remote sensing-based evapotranspiration (ET) is developed naturally, due to importance of ET its data availability. This study compares two main schemes: (1) (Scheme I) (2)...

Cloud Computing (CC) environment has restructured the Information Age by empowering on demand dispensing of resources a pay-per-use base. Resource Scheduling and allocation is an approach ascertaining schedule which tasks should be carried out. Owing to heterogeneity nature resources, scheduling in CC considered as intricate task. Allocating best resource for cloud request remains complicated t...

In a recent paper by Tang, Reed and Wagener (2006, hereafter referred to as TRW) a comparison assessment was presented of three state-of-the-art evolutionary algorithms for multiobjective calibration of hydrologic models. Through three illustrative case studies, TRW demonstrate that the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Epsilon Dominance Nondominated Sorted Genetic Algorithm ...

in this paper, lift and drag coefficients were numerically investigated using numeca software in a set of 4-digit naca airfoils. two metamodels based on the evolved group method of data handling (gmdh) type neural networks were then obtained for modeling both lift coefficient (cl) and drag coefficient (cd) with respect to the geometrical design parameters. after using such obtained polynomial n...

Robustness of optimal solutions when solving network design problems is of great importance because of uncertainty in future demand. In this research the optimization of infrastructure planning in a multimodal passenger transportation network is defined as a multiobjective network design problem, with accessibility, use of urban space by parking, operating deficit and climate impact as objectiv...