Sebin Choi
- GPT-based data-driven urban building energy modeling (GPT-UBEM): Concept, methodology, and case studies. In: Energy and Buildings, v. 325 (Dezember 2024). (2024):
- Retrofit building energy performance evaluation using an energy signature-based symbolic hierarchical clustering method. In: Building and Environment, v. 251 (März 2024). (2024):
- Energy signature-based clustering using open data for urban building energy analysis toward carbon neutrality: A case study on electricity change under COVID-19. In: Sustainable Cities and Society, v. 92 (Mai 2023). (2023):