Optimizing Coal Plant Emissions Monitoring

This chapter delves into the operational behaviors of coal plants, focusing on their cycling patterns and the challenges they present for CO2 emission tracking. It examines the complexities of data collection and analysis, particularly through machine learning and image classification, while highlighting innovations and projects aimed at improving monitoring accuracy. Additionally, the discussion emphasizes the role of data sharing and advanced technologies in enhancing accountability for climate change initiatives.