This study investigates the application of digital transformation in the maintenance of biomass thermal power plants, focusing on how emerging technologies enhance operational reliability and asset management. The research adopts a qualitative approach based on a literature review of recent scientific publications addressing digital maintenance strategies in the energy sector. Technologies such as Supervisory Control and Data Acquisition (SCADA) systems, digital twins, and data analytics platforms are examined for their ability to enable real-time monitoring, predictive diagnostics, and optimization of maintenance routines. The findings indicate that digital tools reduce unplanned outages, improve key performance indicators such as Mean Time Between Failures (MTBF) and Mean Time To Repair (MTTR), and enhance energy efficiency. Although most studies do not explicitly address biomass plants, the technologies discussed are considered applicable to their operational context. The paper also identifies barriers to implementation, including legacy systems, lack of interoperability, and organizational resistance. The research highlights the importance of aligning digital tools with plant-specific conditions, especially regarding fuel variability and thermal stability. The study concludes that digital transformation presents a strategic opportunity to modernize maintenance practices in biomass-based power generation, requiring structured planning, workforce training, and integration of decision-making processes with real-time data systems.