Hamed Shakouri G. | University of Tehran (original) (raw)

Papers by Hamed Shakouri G.

International journal of engineering. Transactions C: Aspects, Mar 1, 2017

Mathematical Problems in Engineering, May 18, 2022

Iranian Journal of Energy, 2010

In today’s growing competitive environment, supply chain management has been widely focused by fi... more In today’s growing competitive environment, supply chain management has been widely focused by firms as a critical issue. Consequently, the organization’s activities are influenced in order to achieving quality improvement, cost reduction and customer satisfaction in production process. Recently, pollution and greenhouse effects have focused the researchers’ attention on planning and executing networks in which environmental problems and economical aspects are considered simultaneously. In this paper, a multi-layer, multi-product and multi-period supply chain network with product return will be studied. The operation risks are assumed as failures occurring in supplier and plant segments. The mathematical modeling will select the best suppliers according to selling price, transportation costs and the average of deficiency. Uncertainty is considered by means of fuzzy approach. The proposed multi-objective fuzzy model is first defuzzified using Jimenez technique and then it is solved b...

Journal of AI and Data Mining, 2018

In this paper, the relation among factors in the road transportation sector from March, 2005 to M... more In this paper, the relation among factors in the road transportation sector from March, 2005 to March, 2011 is analyzed. Most of the previous studies have economical point of view on gasoline consumption. Here, a new approach is proposed in which different data mining techniques are used to extract meaningful relations between the aforementioned factors. The main and dependent factor is gasoline consumption. First, the data gathered from different organizations is analyzed by feature selection algorithm to investigate how many of these independent factors have influential effect on the dependent factor. A few of these factors were determined as unimportant and were deleted from the analysis. Two association rule mining algorithms, Apriori and Carma are used to analyze these data. These data which are continuous cannot be handled by these two algorithms. Therefore, the two-step clustering algorithm is used to discretize the data. Association rule mining analysis shows that fewer vehi...

2021 IEEE Power & Energy Society General Meeting (PESGM)

Microgrids enable improved community resiliency and effective integration of distributed energy r... more Microgrids enable improved community resiliency and effective integration of distributed energy resources. Microgrids traditionally have been designed with predefined, static electrical boundaries, a historical load curve, and a design peak load. With advanced metering infrastructure (AMI) deployed within a community microgrid, operators may determine projected peak (compared to design peak load) and flexibly adjust the microgrid boundary to serve additional customers. Over the long term, the synergies of behind-the-meter solar photovoltaic and energy storage systems along with voltage optimization and behavioral programs such as energy efficiency could further induce peak load reductions. Leveraging both data analysis and controls, as well as long-term peak reduction, microgrids can expand their services into neighboring communities and offer increased economic benefits.

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2008

The assessment of a theory is the main objective of scientists. Theories are always introduced by... more The assessment of a theory is the main objective of scientists. Theories are always introduced by models, and model selection is applied to many various fields of scientific studies in order to corroborate or verify the theory as the winning one among a set of competing hypotheses. Different criteria are taken as bases to select one model among several parallel models in both statistical and visual types. This paper proposes a new method in model selection based on the solutions of a fuzzy decision-making problem. The method enables us to apply systematically all desired validation criteria by defining a proper possibility distribution function (PDF) for each criterion. The generality of the method allows us to consider even intuitive, inaccurate, or linguistic criteria. Finally, the maximization of a utility function, rationally composed of the PDFs, will determine the best choice of competing models. The method is illustrated by two sets of linear and nonlinear parallel models.

Mudīriyyat-i ṣan̒atī, 2017

This study presents amathematical model for the development of power plants capacity to controlca... more This study presents amathematical model for the development of power plants capacity to controlcarbon dioxide. The objective function of the model is to minimize the costs ofinvesting in new power plants, costs of fuels, costs of maintenance and socialcosts of carbon dioxide over the years from 2011 to 2025. The model has some constraintsincluding demand, development of renewable power plants and development of dispersedgeneration sites. The proposed model has been solved and analyzed in differentscenarios regarding approaches such as "economic and environmental", "economic"and "decreasing the costs of investment in renewable technologies". It shouldbe noted that having conducted the first scenario, the sensitivity of themathematical model has been studied in relation to a number of parameters.These parameters include the efficiency of technologies, the social costs ofcarbon dioxide and the costs of maintaining power generation technologies. In thescena...

For decades, energy prices have been controlled by the government in Iran. This policy had a long... more For decades, energy prices have been controlled by the government in Iran. This policy had a long lasting impact on almost all economic variables in Iran. To date, under tremendous pressure to adequately meet the huge domestic demands for energy inputs, the government has decided to reduce/eliminate the energy subsidies. Thus, its impact on the consumer price index is unavoidable. This paper investigates the dynamics of that impact via a dynamic nonlinear inflation model. It is shown that an increasing shock in fuel price has less increasing effect on the general price index, compared to the steady state effect of a continuously increasing signal. Based on this fact, it is deduced that other factors, e.g. the Money Supply Growth and the Goods Market Gap, has much more impact on the inflation. Therefore, unsubsidizing energy price, particularly fuel, will empower the government to save more money and avoid expansionary monetary policies. The currency not used for subsidizing fuel pri...

Progress in Sustainable Energy Technologies: Generating Renewable Energy, 2014

Expert Systems with Applications, 2012

Computers & Industrial Engineering, 2013

Carbon capture, and storage (CCS) is a key technology to mitigate climate change. Since this tech... more Carbon capture, and storage (CCS) is a key technology to mitigate climate change. Since this technology is almost costly, utilization of the carbon dioxide captured by the system is proposed as a way to compensate its costs. Thus, attention has increasingly focused on how the captured CO2 can be optimally utilized or stored. Hereby, an optimization model is proposed in this research to minimize the costs of carbon capture, utilization and storage (CCUS) technology. Various carbon utilization and storage options including injecting it to mature oil and coal wells for enhancing oil recovery or coal bed methane recovery, selling it to several industries, and storing it in empty oil and gas wells, in saline aquifers and under oceans are considered in this research. Taking into account revenues of CO2 sale, emission reduction, and CO2 certificate along with distances of sinks from power plants and capacities of sinks, the model also decides whether the use of CCUS technology in a power p...

Proceedings of the 5th WSEAS …, 2005

International Journal of Emerging Electric Power Systems, 2007

The necessity of dynamic equivalents for power system analysis has been well known since the expa... more The necessity of dynamic equivalents for power system analysis has been well known since the expansion of large interconnected power networks and has been discussed during the last decades. The present paper proposes a new method for constructing dynamic equivalents of power systems. In this method, at the first step the “study system” is modeled completely via a single machine infinite bus modeling procedure. Then the “external system” is identified as a MIMO feedback block of this model in such a manner that can include dynamic effects of the latter on the behavior of the former. The method successfully experiments on a part of the Iranian southern network.

Thispaperintroduces a robustdecentralized Load-Frequency Controller (LFC)forapowersystem, which i... more Thispaperintroduces a robustdecentralized Load-Frequency Controller (LFC)forapowersystem, which isconfigured basedontheStructured Singular Values(SSVs). A newLinear Quadratic Regulator (LQR)solution isapplied fora two-areapowersystem,usingan Artificial Neural Network(ANN).Subject toa restriction whichisbasedon SSVs,eachLFCcanbedesigned independently. Theproposed Neuro-Optimal controller combines theadvantages ofANN andthegoodperformance oftheSSV-LQRcontroller. To overcometheproblemof SSV-LQR,whichneedsthe measurement ofallsystemstates; thesuggested controller has onlyoneinput fromsystem states ineachareaandregenerates theother states just using lags ofthefrequency variations. The results showthattheproposedcontroller hasimproved dynamic behavior ofthesystem, compared tothebothSSV- LQR controller anda Genetic Algorithm (GA)optimization applied toLFC.