@conference {18039,
	title = {Smart Building Integration in Smart Grids},
	booktitle = {The 44th Heating Ventilation Air Condition and Refrigeration Congress and Exhibition - KGH 2013},
	year = {2013},
	abstract = {Modern power distribution systems gradually evolve into Smart Grids. Intelligence is getting inserted in all segments of the grid, monitoring and controlling entire power flow from generation and distribution down to consumption of home appliances. On the other hand renewable generation systems are getting widely deployed in public and residential buildings turning them into prosumers. Such scenario requires novel solutions for smart coupling of generation and consumption. Different kinds of prosumers clustering have been proposed by scientific community as a response. In the present work we propose an ICT structure capable of tackling this challenge. The conceptual solution represents an architecture which enables seamless integration of Smart Buildings into Smart Grids.},
	keywords = {Clustering, smart grid, smart home, System Level Model},
	author = {Lukovi{\'c}, Slobodan and {\v C}ongradac, Velimir and Kuli{\'c}, Filip}
}
@conference {135.VuLuErKu10.2,
	title = {An enhanced workflow management for Utility Management System},
	booktitle = {Proceedings of the International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT 2010)},
	year = {2010},
	month = {October 18-20},
	address = {Moscow, Russia},
	abstract = {The emerging computational grid infrastructure consists of widely distributed heterogeneous resources, which makes mapping of increasingly complex applications a very challenging task. Utility Management Systems (UMS) manage very large number of workflows with very high resource requirements and thereby optimization of resource utilization has to be adapted. In this work we propose architecture that implements a novel concept for dynamical execution of a scheduling algorithm using near real-time feedback from the execution monitoring process. An Artificial Neural Network (ANN) was trained for workflow scheduling. In the case study, we first perform experiments with same number of workflows and then introduce two additional in the system observing its behavior with and without proposed improvements. Performance tests show that significant improvements of overall execution time can be achieved by introducing adaptive Artificial Neural Network.},
	doi = {http://dx.doi.org/10.1109/ICUMT.2010.5676601},
	author = {Vukmirovi{\'c}, Srdjan and Lukovi{\'c}, Slobodan and Erdeljan, Aleksandar and Kuli{\'c}, Filip}
}
@conference {130.LuKaMuBoKuPo10,
	title = {Functional model of Virtual Power Plant (VPP)},
	booktitle = {Proceedings of the 2010 CIGRE (International Council on Large Electric Systems) Session},
	year = {2010},
	month = {July},
	address = {Paris, France},
	keywords = {smart grid, unified modeling language (UML), virtual power plants},
	author = {Lukovi{\'c}, Slobodan and Kaitovi{\'c}, Igor and Mura, Marcello and Bondi, Umberto and Kuli{\'c}, Filip and Popovi{\'c}, Dragan}
}
@conference {137.VuLuErKu10.3,
	title = {A Smart Metering Architecture as a step towards Smart Grid realization},
	booktitle = {Proceedings of the IEEE EnergyCon 2010},
	year = {2010},
	month = {December 18-22},
	address = {Bahrain},
	abstract = {Emerging concept of Smart Grids aims at increasing visibility and controllability of electricity grids boosting their operational efficiency, enabling novel enhanced services to customers and utilities at a same time. Successful realization of this concept will in great part depend on efficient management of tremendous amounts of data to be gathered and processed in very short time periods. In this work we propose a novel smart metering architecture to manage data collected from deployed smart meters logically encapsulated in form of virtual meters. The metering infrastructure is structured in the form of Advanced Metering Infrastructure (AMI). The architecture of Meter Data Management (MDM) system as well and its integration in Control Center structure of power system is described in details. The testing and verification of proposed solution is performed on data from power distribution company Vattenfall, Sweden.},
	doi = {http://dx.doi.org/10.1109/ENERGYCON.2010.5771705},
	author = {Vukmirovi{\'c}, Srdjan and Lukovi{\'c}, Slobodan and Erdeljan, Aleksandar and Kuli{\'c}, Filip}
}
@conference {122.VuErKuLu10,
	title = {Software architecture for Smart Metering systems with Virtual Power Plant},
	booktitle = {Proceedings of the 15th IEEE Mediterranean Electrotechnical Conference (MELECON2010)},
	year = {2010},
	month = {April},
	address = {La Valleta, Malta},
	abstract = {This paper presents a novel architecture for Smart Metering systems which enables their seamless, secure and efficient integration in wider SmartGrid software structures. Smart metering solutions represent one of the fastest evolving areas in the field of power distribution systems. There is an extensive interest of leading software vendors in the field, for development of architectures that can efficiently manage transmission, processing and storing of tremendous amount of data produced by such metering devices deployed at the end-end side. The integration of these systems into existing power system software architectures (outage management, workforce management, etc.) represents a major challenge for research community. In such an environment it is extremely important to adopt standardized data exchange mechanisms. The proposed architecture is conceived as modular and scalable structure so that it can help implementation of novel power distribution concepts such as Virtual Power Plants (VPPs). The proposed architecture has been successfully tested and verified in real-life operation as one of modules of Smart Metering system named Meter Data Management (MDM) developed by Telvent DMS Llc, Serbia.},
	doi = {http://dx.doi.org/10.1109/MELCON.2010.5476237},
	author = {Vukmirovi{\'c}, Srdjan and Erdeljan, Aleksandar and Kuli{\'c}, Filip and Lukovi{\'c}, Slobodan}
}
@conference {131.VuLuErKu10,
	title = {A solution for CIM based integraton of Meter Data Management in Control Center of a power system},
	booktitle = {Proceedings of the 2010 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS{\textquoteright}10)},
	year = {2010},
	month = {September 9},
	address = {Taranto, Italy},
	abstract = {Modern power systems, in particular Control Center structures, involve more and more software applications in their normal operation. Such scenario urges for standardization of inter and intra processes communication and data exchange. In this work we propose a solution for seamless Meter Data Management (MDM) integration with Control Center structures through Common Information Model (CIM). The solution is implemented in form of a wrapper that adopts messages (i.e. payloads) to the standard requested form. The proposed solution has been verified using a simulation framework which emulates regular control and data.},
	keywords = {monitoring and control, system level modeling, virtual power plants},
	doi = {http://dx.doi.org/10.1109/EESMS.2010.5634169},
	author = {Vukmirovi{\'c}, Srdjan and Lukovi{\'c}, Slobodan and Erdeljan, Aleksandar and Kuli{\'c}, Filip}
}
@conference {113.LuCoKu10,
	title = {A system level model of possible integration of Building Management System in SmartGrid},
	booktitle = {Complexity in Engineering (COMPENG 2010)},
	year = {2010},
	month = {February 22-24},
	address = {Rome, Italy},
	abstract = {SmartGrids are conceived as modular, end-to-end interoperable systems. It is envisaged that power systems components (modules) will be hierarchically coordinated and integrated in order to form certain autonomous clusters which would perform as much as possible local data storing and processing in order to decrease overall communicational and computational overhead. Building Management Systems (BMS) could be seen as one of such modules inside wider SmartGrid system. The incorporation of BMS must consider both technical as well as commercial issues. Hence, the efficient integration will require standards{\textquoteright} harmonization and closer interaction among key elements of these systems. Moreover, another important issue will be adopting of new market models to BMS. In order to represent the system and relations among its components in a clear and understandable fashion, we introduce system level modeling concept as an instrument to bridge functional requirements and implementation constraints.},
	doi = {http://dx.doi.org/10.1109/COMPENG.2010.43},
	author = {Lukovi{\'c}, Slobodan and {\v C}ongradac, Velimir and Kuli{\'c}, Filip}
}
@conference {110.CoKuLu09,
	title = {Prediction of the type of heating with EnergyPlus program and fuzzy logic},
	booktitle = {40th International Congress on Heating, Refrigerating and Air-conditioning (KGH Congress)},
	year = {2009},
	month = {12/2009},
	address = {Belgrade, Serbia},
	abstract = {The purpose of this work is prediction of the type of heating for the next few days in an office building using EnergyPlus program for simulation and fuzzy logic for determination. In this matter a program that binds weather forecast, created simulation model in EnergyPlus of a five story building in Belgrade, simulation in EnergyPlus and fuzzy logic, and as a result program gives the type of heating which is the most economic to use for the particular day, was built. Everything is done in the way of most efficient and rational use of energy.},
	author = {{\v C}ongradac, Velimir and Kuli{\'c}, Filip and Lukovi{\'c}, Slobodan}
}
