Jelena Milojkovic

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One step ahead prediction based on short time series is presented. It will be shown here first that for the subject of short term prediction of electricity load, even though a large a-mount of data may be available, only the most recent of it may be of importance. That gives rise to prediction based on limited amount of data. We here propose implementation(More)
Linked Open Data (LOD) is a growing movement for organizations to make their existing data available in a machine-readable format. There are two equally important viewpoints to LOD: publishing and consuming. This article analyzes the requirements for both sub-processes and presents an example of publishing statistical data in RDF format and integrating the(More)
Two modern concepts implemented for forecasting based on reduced time series are contrasted. Results obtained by use of artificial neural nets (ANNs), already discussed at this conference, are compared with the ones obtained by implementation of the so called Grey theory or Grey Model (GM). Particularly, feed-forward accommodated for prediction (FFAP) and(More)
ICT and energy are two economic domains that became among the most influential to the growth of modern society. These, in the same time, due to exploitation of natural resources and producing unwanted effects to the environment, represent a kind of menace to the eco system and the human future. Implementation of measures to mitigate these unwanted effects(More)
To improve transparency and public service delivery, national, regional and local governmental bodies need to consider new strategies to openning up their data. We approach the problem of creating a more scalable and interoperable Open Government Data ecosystem by considering the latest advances in Linked Open Data. More precisely, we showcase how an(More)
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