The differences in the price of energy to economic sectors are linked to a number of system parameters and to public welfare. There are large disparities in energy prices within states when comparing residential and industrial prices although neoclassical economics predicts one price in markets. The large disparities between the two sectors across states negatively affects the efficiency of res...

Accurate modeling and forecasting monthly electricity consumption are the keys to optimizing energy management and planning. This paper examines the seasonal characteristics of electricity consumption in Hong Kong—a subtropical city with 7 million people. Using the data from January 1970 to December 2014, two novel nonlinear seasonal models for electricity consumption in the residential and com...

Recently Fisher-Vanden et al (2004) have used firm level data to estimate an energy intensity function for a large number of enterprises in China. This is the first study to use the regression approach to examining the relationships between fuel prices and fuel consumption in China. One of the major findings of the study is that firms are very responsive to relative fuel price changes. However,...

The use of electrical energy is directly proportional to the increase in global population, both concerning growing industrialization and rising residential demand. need achieve a balance between production consumption inspires researchers develop forecasting models for optimal economical use. Mostly, industrial sectors metering sensors that only measure consumed but are unable manage electrici...

Community land trusts are flexible organizations that embrace diverse land uses to address various community needs. While the majority of CLTs currently focus on the development and stewardship of owner-occupied housing, some organizations have broadened their focus to emerging opportunities in non-residential development. The study examines non-residential programs and activities implemented b...

The Chinese government has committed to reaching its carbon emissions peak by 2030, which is a major undertaking. However, traditional carbon allocation processes may face a suite of difficulties, including the dynamics of the allocation principle, the independence of the allocation entities and data availability. Considering these difficulties, in this study, we developed a multi-level carbon ...