Rapidly increasing urbanization in the world, especially in developing countries, let to increasing urban extents. Rapid urban growth causes to appearance many problems such as wasting environmental resources, inability of providing necessary services for citizens and unplanned growth. Urban mangers and planners need tools for understanding amount and size of future urban growths to prevent the...

Integrated energy systems (IESs) are developing rapidly as a supporting technology for achieving carbon reduction targets. Accurate IES predictions can facilitate better scheduling strategies. Recently, newly developed unsupervised machine learning tool, known Generative Adversarial Networks (GAN), has been used to predict renewable outputs and various types of loads its advantage in that no pr...

This work presents a simulation approach to the design and economic evaluation of fuel oil hydrotreating processes for the control of SO2 and NOx emission in an Iranian steam power plant. The percent of fuel oil desulphurization was estimated from the SO2 emissions standards for power plants. Based on two different scenarios according to (I) European and (II) Iranian standards, the design and s...

Systems with elements linked via a communication network are vulnerable to problems and attacks of malicious agents, potentially harmful consequences for performance stability. This paper proposes stochastic Model Predictive Control (MPC) scheme deal two different sources uncertainties simultaneously, namely, packet losses external disturbances. In particular, the controller deals using tree-ba...

Feature selection methods, as a preprocessing step to machine learning, are effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility. However, the recent increase of dimensionality of data poses a severe challenge to many existing feature selection methods with respect to the efficiency and effectiveness. In this work, ...

I study creation of multiagent organizations via an automated computational process. My organizational design problem frames design decisions in terms of the quantitative impact that an organization is expected to have on the agents’ reasoning and behaviors. I develop techniques for efficiently solving this problem via incremental search of the organizational design space, and extend my organiz...