Impact of precipitation extremes on energy production across the São Francisco river basin, Brazil

• Published in: Theoretical and applied climatology Vol. 155; no. 7; pp. 6899 - 6916
• Main Authors: Santos, Josielton, Justino, Flávio, Rodrigues, Jackson
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01.07.2024; Springer
• Subjects: Analysis; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Atmospheric Sciences; Brazil; climate; Climatology; decision making; Earth and Environmental Science; Earth Sciences; Electric power production; electricity generation; hydroelectric power; Hydroelectric power plants; Machine learning; Neural networks; rain; Rain and rainfall; seasonal variation; Waste Water Technology; Water Management; Water Pollution Control; Water-power; watersheds; Brazil; Affluent Natural Energy; Stored Energy; Machine Learning; Artificial Intelligence; Regression Model; Prediction

The Brazilian electrical system (BES) relies heavily on hydrothermal energy, specifically hydroelectric power plants (HPPs), which are highly dependent on rainfall patterns. The São Francisco River Basin (SFRB) is a critical component of the BES, playing a key role in electricity generation. However...