Prediction of Energy-Saving Awareness of Households in Kitakyushu
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  • Release Date: 2023-09-08
  • 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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Singh, N.K.; Fukushima, T.; Nagahara, M. Prediction of Energy-Saving Awareness of Households in Kitakyushu. Encyclopedia. Available online: https://encyclopedia.pub/video/video_detail/912 (accessed on 28 April 2024).
Singh NK, Fukushima T, Nagahara M. Prediction of Energy-Saving Awareness of Households in Kitakyushu. Encyclopedia. Available at: https://encyclopedia.pub/video/video_detail/912. Accessed April 28, 2024.
Singh, Nitin Kumar, Takuya Fukushima, Masaaki Nagahara. "Prediction of Energy-Saving Awareness of Households in Kitakyushu" Encyclopedia, https://encyclopedia.pub/video/video_detail/912 (accessed April 28, 2024).
Singh, N.K., Fukushima, T., & Nagahara, M. (2023, September 08). Prediction of Energy-Saving Awareness of Households in Kitakyushu. In Encyclopedia. https://encyclopedia.pub/video/video_detail/912
Singh, Nitin Kumar, et al. "Prediction of Energy-Saving Awareness of Households in Kitakyushu." Encyclopedia. Web. 08 September, 2023.
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