Geographic information system (GIS) data provide geospatial data on cities and spatial
analysis functions that are essential for urban design. Building information modeling (BIM) …

Machine learning (ML) models have been widely used in the modeling, design and
prediction in energy systems. During the past two decades, there has been a dramatic …

Data related to building energy use fuels the research and applications on building energy
efficiency, which is an essential measure to address global energy and environmental …

Buildings are one of the biggest consumers of fossil fuels, and thus, contribute largely to
greenhouse gas emissions. As a result, a large number of studies have been conducted and …

Building energy performance tools are widely used to simulate the expected energy
consumption of a given building during the operation phase of its life cycle. Deviations …

Advanced energy algorithms running at big-data scale will be necessary to identify, realize,
and verify energy savings to meet government and utility goals of building energy efficiency …

With the Paris Agreement entering into full force, South Korea must submit its target
greenhouse gas emissions for commercial buildings by 2030 to the United Nations …

Reducing energy consumption and greenhouse gas emissions in the built environment is a
critical step in achieving emission goals to mitigate climate change impacts. Local, federal …

Buildings contribute 38% of emissions worldwide. Reduced buildings-related emissions for
use cases including building codes, policy impacts, utility planning, building design, sizing …

Increasing amounts of data are available from lighting and other building systems. In
commercial buildings, these data can be used to improve system and energy performance …