@conference {159.LuVuKaEr12.MELECON,
	title = {Virtual Metering for Virtual PHEV Aggregation},
	booktitle = {Proceedings of the 16th IEEE Mediterranean Electrotechnical Conference (MELECON2012)},
	year = {2012},
	month = {March 25-28},
	address = {Yasmine Hammamet, Tunisia},
	abstract = {Technically sustainable solutions for integration of (PH)EVs in Smart Grid emerge as an important concern. We discuss the need for introduction of Virtual Aggregations supported by implementation of Virtual Meters in power system structures. We advocate our proposal with an evaluation of scenarios based on realistic data. The structure and functionalities of the Virtual Aggregator, as well as proposed enhancements on the Smart Grid side, are presented.},
	author = {Lukovi{\'c}, Slobodan and Vukmirovi{\'c}, Srdjan and Kaitovi{\'c}, Igor and Erdeljan, Aleksandar}
}
@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 {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}
}
