International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The paper deals with an operating photovoltaic plant in Bulgaria. The wide application of photоvoltaic plants in the energy system is known. At the same time, subject matters about their normal functioning are fundamental. The goal of the paper set is to analyze data from the operation of a photovoltaic power plant , which is ultimately related to improving its behavior. Relevant conclusions have been dоne.

In statistics, the presence of outliers in the data set could wrongly distort the estimation of the mean. In addition, the extreme values increase the variability and consequently, the power of the statistical methods decreases. However, there are disagreements in the literature both about what the nature of outliers is, and about how to deal with them when doing further statistical analyses. A lot of conventional procedures for both detecting and dealing with outliers are discussed. The effect of increase the probability of error of the first order type is demonstrated with two simple simulations. The general conclusion is that an information outside of the data set is necessary for a correct decision. This information could come only from the human expertise of the researchers of the specific domain of in terest. The importance of the topic for outliers is discussed, the need of deeper analyses, accompanied with many simulation studies, is argued.

In the paper are presented experimental results of exploring the thermography method of diagnostics of dairy cows mastitis depending on the basic used information parameter. Prospects for embedding the information on the udder thermography results into the herd management system are discussed.