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A Hybrid Robust optimization Model for Day-ahead Management of Active Distribution Networks

کلیدواژه: Robust optimization,Info-gap decision theory,Day-ahead market,Real-time market,Two-level optimization

نویسندگان: Aboli Reza, RAMEZANI MARYAM, FALAGHI HAMID

ناشر: مهندسی برق دانشگاه تبریز - Tabriz Journal of Electrical Engineering

In this paper, a hybrid day-ahead Robust optimization model is presented for the optimal operation of active distribution networks subject to real-time operation. Maintaining the convex structure of the problem with load flow equations is the most important goal in how to Robust modeling of uncertai... ادامه

سال:2019

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Multi-Objective Portfolio optimization Model with Fuzzy-Robust Hybrid Approach (As a case:Tehran Stock Exchange)

کلیدواژه: portfolio, Multi-Objective optimization, Zimmermann fuzzy approach, Minimax regret, robustness

نویسندگان: Jaberi Mahsa, Mohammadi Emran, Azizi Amir

ناشر: بورس اوراق بهادار - JOURNAL OF SECURITIES EXCHANGE

The novel theory of the portfolio optimization has developed based on the fundamental Markowitz model. The Markowitz model is unique in terms of theory, but its weaknesses prevent the use of this model in practice. In this model, the return rate is extracted based on past data, but in this research,... ادامه

سال:2022

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The efficiency of Data-Driven Models for Months ahead Groundwater level Forecasting Using a Hybrid Gamma Test and Genetic Algorithm Model

کلیدواژه: Groundwater levels,Gamma Test,Artificial neural network,SVR,Genetic Algorithm

نویسندگان: mirarabi ali, Naseri Hamidreza, NAKHAEI MOHAMMAD, Alijani Farshad

ناشر: زمین شناسی کاربردی پیشرفته - ADVANCED APPLIED GEOLOGY

In order to implement sustainable groundwater resources management, it is necessary to model the behavior of groundwater level. Groundwater is a nonlinear and complex system which Data-driven models can be modeled this system without approximation and simplification. This study evaluates the perform... ادامه

سال:2018

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Optimal Scheduling of Energy Storage Systems with Private Ownership Based on a Stochastic-Robust Hybrid optimization Model in Energy and Ancillary Services Markets

کلیدواژه: Electricity market, Stochastic-Robust Hybrid Optimization, Energy-Storage System, Uncertainty, Ancillary Services Markets

نویسندگان: Farahani Mohammad, Samimi Abouzar, Shateri Hossein

ناشر: مدل سازی در مهندسی - Modeling in Engineering

In this paper, the problem of participation of a Battery Energy Storage (BES) in the Day-ahead Market (DAM) and Real-time Market (RTM) in three cases including Joint Energy and Reactive Power Market (JERPM), Energy Market (EM) and Energy and Reserve Market (ERM) is modeled based on a hybrid Stochast... ادامه

سال:2024

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Hybrid time Delay Petri Nets as a Mathematical Novel Tool to Model Dynamic System with Current Sample time

کلیدواژه: Hybrid Petri Nets,Current sample time signals,Capsubot robot,Genetic algorithm

نویسندگان: Ahangarani Farahani A., DIDEBAN A.

ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND optimization IN APPLIED MATHEMATICS

The existing modeling methods using Petri Nets, have been successfully applied to model and analyze dynamic systems. However, these methods are not capable of modeling all dynamic systems such as systems with the current sample time signals, systems including various subsystems and multi-mode system... ادامه

سال:2018

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A Hybrid Model for Portfolio optimization Based on Stock Price Forecasting with LSTM Recurrent Neural Network using Cardinality Constraints and Multi-Criteria decision Making Methods (Case study of Tehran Stock Exchange)

کلیدواژه: Price Forecasting,LSTM,IAHP,CoCoSo,Cardinality Constraint

نویسندگان: Abdi Nasimeh, Moradzadehfard Mehdi, Ahmadzadeh Hamid, Khoddam Mahmoud

ناشر: چشم انداز مدیریت مالی - JOURNAL OF FINANCIAL MANAGEMENT PERSPECTIVE

Due to the dynamic trend of stock prices and the volatile nature of the market, asset price forecasting plays a key role in creating an efficient strategy, and the results of price forecasting are a prerequisite for creating an optimal stock portfolio. The purpose of this study is to provide a hybri... ادامه

سال:2021

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Hybrid Learning Machine Metaheuristic Model for Estimating Groundwater level

کلیدواژه: Groundwater level,Weighted least square support vector machine,Particle swarm optimization,Gravitational search algorithm-Efficiency

نویسندگان: Khosravi Shiva, Robati Amir

ناشر: مهندسی عمران مدرس - Modares Civil Engineering journal

Groundwater is the most reliable source of supply for potable water and supports a wide array of economic and environmental services. There is a significant concern that groundwater levels are declining due to intense aquifer use. The sustainable management of groundwater resources requires good pla... ادامه

سال:2021

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Ethical Banking Education optimization Model

کلیدواژه: Ethics,Education optimization,Ethical banking

نویسندگان: Golshanpour Ataghverdi mansour, REZVANI CHAMANZAMIN MOUSA, HAZRATI MORTEZA

ناشر: اخلاق در علوم و فناوری - Ethics in Science and Technology

Background: Ethical banking is a set of banking activities with full respect for human rights, commitment to healthy competition and responsibility and accountability for behaviors. The purpose of this research is to provide a model for optimizing ethical banking training in Iran's Workers' Welfare ... ادامه

سال:2023

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An Analysis of the Unobserved Actions of Iranian Mutual Funds using Return gap Criteria

کلیدواژه: Holding-based performance,evaluation,Mutual funds holdings,Quarterly disclosure,Return Gap,portfolio management

نویسندگان: Ebrahim Nejad Ali, Barakchian Seyyed Mahdi, Ghanipour Majid

ناشر: تحقیقات مالی - Financial Research Journal

Objective: This study aims at measuring the effect of added valued of unobserved actions of mutual funds. Methods: Using Return gap criteria– the difference between the return of hypothetical and actual return – the researchers examined the effect of indiscernible activities in mutual ... ادامه

سال:2018

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A 3D time-Variant Non-Stationary Hybrid Channel Model for Massive MIMO Systems

کلیدواژه: Channel modeling,doppler effect,clustering,massive MIMO,ray tracing,5G

نویسندگان: Tamaddondar Mohammad Mehdi, NOORI NARGES

ناشر: - International Journal of Information and Communication Technology Research

This paper presents a novel three-dimensional (3D) time-variant hybrid channel model for massive multiple input multiple output (M-MIMO) wireless systems. The main aim of the proposed model is to find channel characteristics in a simple and precise manner. To achieve this purpose, this channel model... ادامه

سال:2019

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