Titlebook: Disruptive Information Technologies for a Smart Society; Proceedings of the 1 Miroslav Trajanovi?,Nenad Filipovi?,Milan Zdravkov Conference

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ly CO2, from the combustion of fossil fuels. This not only poses environmental concerns but also contributes to rising energy costs. This study aims to mitigate these issues by integrating renewable energy sources (Photovoltaic panels and Wind Turbines), Energy Storage Systems, and Electric Vehicles

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ocal District Heating System, by also considering outside ambient temperature, namely Z-score (univariate, as a benchmark), Mahalanobis distances, Principal Component Analysis (PCA), Isolation Forest and Hotelling’s T-squared test. The overall research aims at uncovering irregular plant operation, w

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nm wavelength. Preliminary applications revealed various plant changes related to light deficiency, water scarcity, nutrient deprivation, and pathogen presence. Inspired by these findings, we upgraded our approach to include the 640?nm wavelength, renowned for its role in photosynthesis processes. T

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t-grid systems across European residential communities. We discuss the challenges of data integration and connectivity in smart grids and how the semantic model addresses these issues. Our methodology includes the step-by-step creation process of an ontology, as well as the design and application of

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https://doi.org/10.1007/978-0-387-73982-3ver, the systemic context of conception, development and production lacks research that analyses the impact of ATs on the different characters in this ecosystem of assistance to people with disabilities to expand the reach and dissemination of these technologies. In this sense, this article aims to

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https://doi.org/10.1007/978-94-010-3408-1timedia exposure. Broader research, part of which is this paper, aims to classify multimedia exposure based on psychophysiological signals using machine learning. In this paper, the reactance dimension of the multimedia exposure scale is classified using electrodermal activity and pupil dilation sig