With the growing interest in using the technique of index decomposition analysis (IDA) in energy and energy-related emission studies, such as to analyze the impacts of activity structure change or to track economy-wide energy efficiency trends, the conventional single-level IDA may not be able...

Energy security has been an actively studied area in recent years. Various facets have been covered in the literature. Based on a survey of 104 studies from 2001 to June 2014, this paper reports the findings on the following: energy security definitions, changes in the themes of these...

Index decomposition analysis (IDA) is a popular tool for studying changes in energy consumption over time in a country or region. This specific application of IDA, which may be called temporal decomposition analysis, has been extended by researchers and analysts to study variations in energy...

We present the findings of a literature survey on decision analysis in energy and environmental modeling. Surveyed studies are classified according to the decision analysis technique used and by application area. It has been found that decision making under uncertainty is the most important...

This paper consists of three inter-related parts. The first is a survey study on the application of growth curves to energy studies. A description on each of the four identified application areas, namely, energy resource analysis, energy demand modeling, fuel substitution, and energy technology...

Four interfuel substitution processes (ISPs) are modeled using growth curves based on the data for Southeast Asian countries. Income and price variables are incorporated in the models so that an ISP can be viewed in the context of a cause and effect system responding to the changes in the...

We present a method for decomposing industrial energy demand using the Divisia approach. This method involves decomposition of the aggregate energy-intensity index measured in terms of energy consumption per unit output. The factors considered are changes in production structure and sectoral...

Electricity demand forecasting plays an important role in electricity systems expansion planning. In this paper, we present a trigonometric grey prediction approach by combining the traditional grey model GM(1,1) with the trigonometric residual modification technique for forecasting electricity...

We discuss some methodological and application issues related to decomposing national industrial energy consumption into changes associated with aggregate industrial production level, production structure and sectoral energy intensity. Past studies are classified and reviewed with respect to...