Вісник Черкаського державного технологічного університету, Год журнала: 2024, Номер 29(2), С. 79 - 92
Опубликована: Апрель 15, 2024
This research aimed to develop methods for using Big Data technologies forecast electricity generation from solar photovoltaic power plants, which is crucial optimising energy production and increasing the efficiency of resource utilisation. The study employed a method analysing economic feasibility storage systems comparative analysis buying selling prices on market. An experiment involving software tools algorithms processing, analysing, modelling large volumes data was also conducted. As result research, methodologies were developed that encompass collection analysis, information visualisation, selection training forecasting models based available data, as well monitoring testing their effectiveness. Graphical diagrams constructed illustrate stages processing process different time periods, model monitoring, model. Additionally, graph created show typicality range values, display change in throughout day. Furthermore, technological described, cost calculated, attractiveness assessed. potential profit indicator price arbitrage established, parameters management an differences purchase sale prices. results obtained can be useful companies organisations involved allowing them optimise increase utilisation
Язык: Английский