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 …

Building on privacy principles of the Fair Information Practice Principles and the European
Union's General Data Protection Regulation, the study compares national policies and …

Modern cities, along with their researchers and innovators can benefit from applying" big
data" to their sustainability and infrastructure problems and policies, eg, water and energy …

The energy benchmarking has been recognized as an effective methodology for assessing
the energy uses of buildings. The authors' previous study proposed both energy …

Measuring and tracking building energy use and other data is essential for cities, utilities,
and service providers. Currently, buildings are conceived as" places/locations" and therefore …

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 …

In the contemporary era, smart buildings, characterized by their integration of advanced
technologies to enhance energy efficiency and user experience, are becoming increasingly …

Heat transfer is necessary for various emerging technologies, including information
technology, biotechnology, nanotechnology, and low-carbon energy use. AI applications in …

The increasing use of renewable energy and the spread of smart energy services require
detailed studies of the system load. The data from the advanced metering infrastructure …