Urban building energy modeling (UBEM) is a bottom-up, physics-based approach to
simulate the thermal performance of new or existing neighborhoods and cities. The field has …

Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …

Buildings have a significant impact on global sustainability. During the past decades, a wide
variety of studies have been conducted throughout the building lifecycle for improving the …

Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …

Nowadays, smart meters are deployed in millions of residential households to gain
significant insights from fine-grained electricity consumption data. The information extracted …

To provide investors with a selection method of energy storage technology, this paper
proposes a quantitative techno-economic comparison method of battery, thermal energy …

Using a high-resolution planning model of the Great Britain power system and 25 years of
simulated wind and PV generation data, this study compares different methods to reduce …

Understanding the energy consumption patterns of buildings and investing efforts toward
energy load reduction is important for optimizing resources and conserving energy in …

The emergence of smart grid technologies and applications has meant there is increasing
interest in utilising smart meters. Smart meter penetration has significantly increased over …

Residential demand response is vital for the efficiency of power system. It has attracted
much attention from both academic and industry in recent years. Accurate short-term load …