:

Jihoon Moon1,2, Muazzam Maqsood3, Dayeong So2

  • 1Department of AI and Big Data, Soonchunhyang University, Asan, Republic of Korea.

PloS one
|November 14, 2024
PubMed
概括

精确的住宅电力消耗预测得到了决策树集体学习和可解释的AI的增强. 这种方法通过揭示关键预测驱动因素,如温度湿度指数来提高能源效率和成本管理.

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