Cargando…
Determinants of Electricity Consumption of Energy-Vulnerable Group Using Ensemble Gradient-Boosting Algorithm
The increasing energy burden on vulnerable households is critical in modern cities, it is crucial to understand how cities can characterize energy vulnerability and its relationship with the environment. This study modeled relationships between energy consumption and built environmental factors to c...
Autores principales: | Kim, Hyunsoo, Kwon, Youngwoo, Choi, Yeol |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Civil Engineers
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490689/ http://dx.doi.org/10.1007/s12205-022-1984-2 |
Ejemplares similares
-
Dataset on the electrical energy consumption and its conservation in the cement manufacturing industry
por: Verma, Yogendra, et al.
Publicado: (2019) -
Determining photon energy absorption parameters for different soil samples
por: Kucuk, Nil, et al.
Publicado: (2013) -
Electric energy: an introduction
por: El-Sharkawi, Mohamed A
Publicado: (2013) -
Improved PSO_AdaBoost Ensemble Algorithm for Imbalanced Data
por: Li, Kewen, et al.
Publicado: (2019) -
Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
por: Bakasa, Wilson, et al.
Publicado: (2023)