In order to find the efficient ways to reduce carbon emission intensity in China, we utilize the
LMDI method to decompose the changes of China׳ s carbon emissions and carbon emission�…

Data envelopment analysis has gained great popularity in energy and environmental (E&E)
modeling in recent years. In this paper, we present a literature survey on the application of�…

Building operations will be the most critical step in completing the “last mile” of global carbon
neutrality. To seek the best practical path to decarbonize commercial building operations�…

Renewable energy is one of the fastest growing segments of energy consumption and wind
energy is one of the most widely used sources of renewable energy. There is, however�…

Since it was first used by researchers to analyze industrial electricity consumption in the
early 1980s, index decomposition analysis (IDA) has been widely adopted in energy and�…

Although a large number of energy decomposition analysis studies have been reported in
the last 25 years, there is still a lack of consensus among researchers and analysts as to�…

The only comprehensive study comparing structural decomposition analysis (SDA) and
index decomposition analysis (IDA) was conducted around 2000. There have since been�…

Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM�…

Carbon emissions per unit of GDP (also called carbon emission intensity, CEI) can be
utilized to measure regional carbon emission performance. In this study, structural�…

Urban areas contain 40% of the population and contribute 75% of the Chinese national
economy. Thus, a better understanding of urban energy uses is necessary for Chinese�…