A Literature Recommendation Service
A tailored literature recommendation service has been developed for BIST researchers. The service analyses each researcher's fields of interest, their existing papers and their…
blog.read_more →
A tailored literature recommendation service has been developed for BIST researchers. The service analyses each researcher's fields of interest, their existing papers and their…
blog.read_more →Three representative services — EUI monitoring, window-to-wall ratio (WWR) estimation, and EnergyPlus-based energy simulation — were implemented using real building data from…
blog.read_more →https://bist.t-ranno.com/energyplus This study proposes a building-centered tree planting strategy. While previous studies have mainly focused on what trees to plant and where to…
blog.read_more →A service generator was developed to automatically generate executable urban building energy services from users’ natural-language requests and available resource information. The…
blog.read_more →A Database automation agent is an AI-driven software agent that automatically discovers, collects, organizes, and updates structured data from external sources with minimal human…
blog.read_more →An agent-based service for calculating window-to-wall ratio (WWR) in real time has been developed. The service trains a CNN model on street-view imagery and uses it to predict a…
blog.read_more →A web-based service has been developed for real-time prediction of air temperature across Seoul at individual grid points, combining KMA AWS/ASOS observations with urban…
blog.read_more →Building Energy Modeling (BEM) is a simulation technique used to predict and analyze a building's energy consumption. It quantitatively models various energy components—such as…
blog.read_more →Ontology-enabled AI agent-driven intelligent digital twins for building operations and maintenance This study proposes a method for implementing an Intelligent Digital Twin (IDT)…
blog.read_more →Virtual In-situ Calibration (VIC) began as a field calibration technique for sensors in HVAC systems and has been actively studied over the past decade. Researchers have…
blog.read_more →In a society overflowing with data and information, are we forgetting knowledge? While extraordinary technologies are being adopted all around us, are we exploring new knowledge…
blog.read_more →The T-ranno platform has been updated to v2.2. The following features have been added: - A redesigned T-ranno GUI - More reliable answers and stronger summarisation - Tool…
blog.read_more →When extending the physical entities of digital twins into the domain in which we operate, the digital twin's core virtual model can include not only physical laws but also…
blog.read_more →www.T-ranno.com T-ranno: The Intelligent Building AI Platform Launch The BIST Lab at Sungkyunkwan University provides its research and development technologies as services through…
blog.read_more →Building digital twin simulator A digital twin simulator was developed to describe the chilled water pump differential pressure control loop in actual building operations. The…
blog.read_more →The use of AI in the creation, operation, and management of digital twins in the built environment is an urgent necessity. In the current building industry, there is a complete…
blog.read_more →웹페이지: https://skku-bist.github.io/ This study proposes a new metadata schema (VB schema) to manage and synchronize virtual building models (VBMs) that mathematically represent the…
blog.read_more →This study aims to utilize GPT performing automated CPM analysis on buildings. Researcher organized electricity energy data for Jongno-gu, Seoul, and trained the data on GPT.…
blog.read_more →GPT-based intelligent urban building digital twins # 최세빈(Sebin Choi) The GPT-based UBEM is an urban building energy modeling technology that leverages GPT's high-performance…
blog.read_more →A study on GPT-assisted virtual model construction using BIM This study proposes a method that uses GPT to autonomously extract and parameterize BIM data for automating virtual…
blog.read_more →GPT has already learned a significant amount of basic information and knowledge in engineering — more than expected. GPT will continue to learn new information and knowledge in…
blog.read_more →We have developed a GPT agent-based building simulation and decision support system, capable of simulation modeling, result analysis, visualization, and design optimization.…
blog.read_more →