Energy

Latest tools can be found to assist reduce the energy that AI models devour

When trying to find flights on Google, you might have noticed that...

AI pilot programs look to cut back energy use and emissions on MIT campus

Smart thermostats have modified the way in which many individuals heat and...

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...

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