Over the next year, the research will primarily focus on developing methods for the optimal planning, operation, and management of power systems (EPS) with a high share of renewable energy sources (RES), leveraging approaches based on mathematical programming. In addition, the study will examine market aspects related to the integration of RES and electric vehicles (EVs), as well as their potential role in providing ancillary services to the system.

Given that accurate generation forecasting is a key prerequisite for implementing such system support measures, particular emphasis will also be placed on the development of forecasting methods and tools for RES production, primarily for wind and photovoltaic power plants. To this end, the research will explore opportunities to enhance forecasting accuracy by applying machine learning techniques and deep neural networks, utilizing available historical data and meteorological forecasting tools.