steps
Artificial Intelligence
Time Series Forecasting with XGBoost and LightGBM: Predicting Energy Consumption Problem Preprocessing Training the Models Evaluation Preprocessing Weather Data Conclusion & Future Steps
The weather data improve the performance in each models by a major margin. Particularly, within the XGBoost scenario the MAE is reduced by almost 44%, while the MAPE moved from 19% to 16%. For...
Artificial Intelligence
A Recent Way: Wildlands App and Counting Sticks The state of the world Current fuel estimation processes when using Photoloading The Photoload App The chances The subsequent steps
How the AI2 Wildlands team is using AI to assist manage wildfiresThe team hopes to deliver an application that's intuitive for those trained in surface fuels measurement and simple to make use of in...
Recent posts
