Forecasting model for lighting electricity load with a limited dataset using xgboost
M Abdurohman, AG Putrada - Kinetik: Game Technology …, 2023 - kinetik.umm.ac.id
Energy forecasting is an important application of machine learning in renewable energy
because it is used for operational, management, and planning purposes. However, using …
because it is used for operational, management, and planning purposes. However, using …
Camera-Based Smart Lighting System that complies with Indonesia's Personal Data Protection Act
Cameras and image processing can detect when a user is present and perform smart
lighting control according to the image processing results to obtain electricity savings …
lighting control according to the image processing results to obtain electricity savings …
Knowledge distillation for a lightweight deep learning-based indoor positioning system on edge environments
AG Putrada, N Alamsyah, SF Pane… - … Technology and Its …, 2023 - ieeexplore.ieee.org
Deep learning has become an attractive choice for indoor positioning systems (IPS)
because of its ability to be more accurate in dealing with phenomena such as multipath and …
because of its ability to be more accurate in dealing with phenomena such as multipath and …
GRU for Overcoming Seasonality and Trend in PM2.5 Air Pollution Forecasting
Pollution forecasting is important to research, especially for hazardous particles like PM 2.5.
However, trends and seasonality that can hide in the dataset make the forecasting model's …
However, trends and seasonality that can hide in the dataset make the forecasting model's …