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Prediction of Energy-Saving Awareness of Households in Kitakyushu
- Subjects: Computer Science, Artificial Intelligence; Economics; Engineering, Electrical & Electronic
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- Contributors:
- ,
- ,
- gradient boosting
- LightGBM
- k-means clustering
- time-series data
- questionnaire survey
- home energy management systems
- zero energy houses
Video Introduction
This video is adapted from 10.3390/en16165998
This video aims to develop a machine-learning model based on a gradient-boosting algorithm to predict the energy-saving awareness of households using a questionnaire survey and 11-month energy data collected from more than 225 smart houses in Kitakyushu, Japan.
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