Maryam khademi
Department of Applied Mathematics, Islamic Azad University South Tehran Branch
[ 1 ] - Interval-based Solar PV Power Forecasting Using MLP-NSGAII in Niroo Research Institute of Iran
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...
[ 2 ] - Techno-economic operation optimization of a HRSG in combined cycle power plants based on evolutionary algorithms: A case study of Yazd, Iran
In this research study, energy, exergy and economic analyses is performed for a combined cycle power plant (CCPP) with a supplementary firing system. The purpose of this analyses is to evaluate the economic feasibility of a CCPP by applying an optimization techniques based on Evolutionary algorithms. Actually, the evolutionary algorithms of Firefly, PSO and NSGA-II are applied to minimize the c...
[ 3 ] - finding influential individual in Social Network graphs using CSCS algorithm and shapley value in game theory
In recent years, the social networks analysis gains great deal of attention. Social networks have various applications in different areas namely predicting disease epidemic, search engines and viral advertisements. A key property of social networks is that interpersonal relationships can influence the decisions that they make. Finding the most influential nodes is important in social networks b...
[ 4 ] - طراحی مدل خدمات شخصی سازی شده با رویکرد سامانههای توصیهگر درکتابخانه دیجیتال آستان قدس رضوی
هدف: هدف پژوهش ارائه مدلی کاربردی از سامانه توصیهگر (پیشنهاددهنده) در حوزه خدمات شخصیسازی کتابخانه دیجیتال آستان قدس رضوی است، این سامانه، با تحلیل الگوهای رفتاری کاربران و ارائه پیشنهادهای دقیق و مورد نیاز، آنان را از مرور دادههای غیر مرتبط بینیاز میسازد. از مزایای این سامانه میتوان شناسایی دقیق نیازهای اطلاعاتی، افزایش کیفیت جستجو، کمک به انتخاب صحیح منابع اطلاعات...
Co-Authors