The field of power system research is moving towards the integration of renewable energy sources and the optimization of grid stability. Recent studies have focused on the development of innovative methods for forecasting bidding prices in ancillary service markets, which can lead to increased earnings and improved grid efficiency. Additionally, researchers are exploring the potential of System Integrity Protection Schemes (SIPS) to enhance grid transfer capacities without compromising reliability. The use of near real-time data and smart balancing is also being investigated, with findings suggesting that it can reduce the need for frequency restoration reserves, but may also jeopardize system stability. Noteworthy papers include:

• A study on ML-Based Bidding Price Prediction for Pay-As-Bid Ancillary Services Markets, which presents a methodology for forecasting bidding prices and demonstrates a potential revenue increase of 27.43% to 37.31% compared to baseline models.
• An analysis of the impact of near real-time data and smart balancing on the frequency stability of power systems, which found that smart balancing can significantly reduce the amount and cost of frequency restoration reserve activation, but leads to a general increase of the frequency variability.