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Inspired by the Shell AI Hackathon 2023, this project uses machine learning to forecast biomass and a hybrid algorithm to optimize biofuel production costs, enhancing economic viability and logistical efficiency.
Regression model for cofiring of multiple solid fuel types in a CFB boiler and its effect on Flue Gas Flow. We are looking at different regression models in sklearn to predict Flue Gas Flow depending on the composition of the fuel mix, including biomass, plastic waste, and coal.
A repository with the original data, code and results of: *Mixed forest model parameterization and integration into simulation platforms as a tool for decision-making processes*
En este repositorio se tienen los programas y las diferentes bases de datos utilizadas para generar un modelo predictivo basado en RNA para estimar la biomasa aérea de maiz forrajero
Indo-Pacific Palaeoecology Database: an evolving, open-access database of the largest collection of palaecological information in the Indo-Pacific region