Machine learning-based analysis of urban regeneration and household energy consumption for sustainable energy optimization in deteriorated urban areas
Optimizing and reducing energy consumption is a central empirical priority for advancing sustainable urban development and mitigating associated environmental risks. Household energy use represents a substantial share of total urban demand, and its dependence on fossil‑based fuels significantly contributes to urban air...