Correlation Analysis of the Spread of Household-Sized Photovoltaic Power Plants and Various District Indicators: A Case Study.

As efforts are made worldwide to meet the growing energy needs of the population in a more sustainable way, harnessing weather-dependent renewable energy sources is becoming more and more important. One of the available technologies is photovoltaic energy production. In the last decade, there has been a growing need among households, institutions, and businesses to reduce the use of fossil-fuel-based electricity from the public grid. In order to meet their electricity demand in Hungary, investors prefer using household-sized photovoltaic power plant (HMKE) systems. The novelty of this study is that it examines the number and total power of photovoltaic HMKEs at the district level in the service areas of different electricity distributors, taking into account the social, economic, infrastructural, and welfare dimensions of these districts as well. The study seeks to uncover whether there is a correlation between the number and total power of these types of power plants and the indicators of the districts, and if so, how strong these relationships are. The examination of the relationships also involved, in addition to correlations by pairs, the relationships of the ranking of the districts according to the complex indicators created from the district indicators and the ranking of the districts based on the number and power of photovoltaic HMKEs per 1000 members of the population. By exploring correlations, the paper seeks to establish a regression model for the number of photovoltaic HMKEs and the territorial (district) indicators. [ABSTRACT FROM AUTHOR]