Optimizing thermal power plants using multiple algorithms

Feb 21, 2023
W207A, Second Level
Optimizing Plant Performance
Physical sensors correctly measure fuel consumption at thermal power plants, but complete sensing is not always economically viable. To solve this challenge, machine learning models are used to predict next-day consumption. Doing so makes it possible to consider operational issues and asset maintenance to determine dispatch order. This presentation will highlight the novel methods being used to predict fuel consumption and costs at thermal power plants.
Angelo Cordeiro, Data solution Analyst - Radix Engineering & Software
Gabriela Freitas, Data Scientist - Radix Engineering and Software
Flávio Loução, Head of RD&I in the Gas & Energy business unit - Radix Engineering and Software Development