Accurate short-term load forecasting (STLF) plays an important role in the daily operation of
a smart grid. In order to forecast short-term load more effectively, this article proposes an …

Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …

Improving load forecasting is becoming increasingly crucial for power system management
and operational research. Disruptive influences can seriously impact both the supply and …

Fast and reliable transient stability assessment (TSA) is significant for safe and stable power
system operation. Deep learning provides a new tool for TSA. However, it is difficult to apply …

Building energy baseline models, particularly machine learning-based models, are a core
aspect in the evaluation of building energy performance to identify inefficient energy …

Accurate building energy consumption prediction is crucial to the rational planning of
building energy systems. The energy consumption of buildings is influenced by various …

The concept of a Positive Energy District (PED) has become a vital component of the efforts
to accelerate the transition to zero carbon emissions and climate-neutral living …

Urban building energy modeling is crucial for guiding carbon reduction policies, but
acquiring reliable data at the urban scale remains challenging. This study develops a model …

The daily passenger flow and ride times for subway systems are increasing in many large
cities. Understanding the characteristics of carbon dioxide (CO 2) and particulate matter …

Atmospheric pressure (AP), which is an indicator of weather events, plays an important role
in climatology, agriculture, meteorology, atmospheric and environmental science, human …