Nowadays, Machine Learning (ML) is one of the most promising application areas in a field of Information Technology where its application scope is almost unlimited. The application of machine learning in an education area is currently very interesting to researchers and scientists, and it is the main focus of our study. The aim of this paper is to evaluate the possibilities of applying and using machine learning in the education area. This paper identifies and analyses suitable literature, research papers and articles in order to determine their categorization in the field of education, to determine the current trends of using machine learning in education, and to determine its current and future applications.

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Solar energy production based on a photovoltaic system is closely related to solar irradiance. Therefore, the planning of production is based on the prediction of solar irradiance. The optimal use of different energy storage systems requires an accurate prediction of solar irradiation with at least an hourly time horizon. In this work, a solar irradiance prediction method is developed based on the prediction of solar shading by clouds. The method is based on determining the current cloud position and estimating the velocity from a sequence of multiple images taken with a 180-degree wide-angle camera with a resolution of 5 s. The cloud positions for the next hour interval are calculated from the estimated current cloud position and velocity. Based on the cloud position, the percentage of solar overshadowing by clouds is determined, i.e., the solar overshadowing curve for the next hour interval is calculated. The solar irradiance is determined by normalizing the percentage of the solar unshadowing curve to the mean value of the irradiance predicted by the hydrometeorological institute for that hourly interval. Image processing for cloud detection and localization is performed using a computer vision library and the Java programming language. The algorithm developed in this work leads to improved accuracy and resolution of irradiance prediction for the next hour interval. The predicted irradiance curve can be used as a predicted reference for solar energy production in energy storage system optimization.

This paper will explore howto use new semantic tags in HTML5 (Hyper Text Markup Language) and how to structure document to create meaningfulhtml document outline.It will explore new semantic elements and cover changes in syntax of previous versions of HTML. Also it will describe HTML5 outline algorithm that helps defining and structuring site content. It willstudy statistics of naming html tags justifying the increasing use of HTML5 semantic tags as a standard in the structuring ofhtmldocuments.

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