According to the records of Hong Kong rail operator, MTR Corporation, the weekly electrical consumption of each railway station ranges from 18MWh to 230MWh. Since the electrical consumption of stations is a major factor in the planning of infrastructure, a good prediction of the electrical...

In this paper artificial neural network is introduced to forecast the daily electricity consumption of a multiproduct pipeline which is used to drive oil pumps. Forecasting electricity energy consumption is complicated since there are so many parameters affecting the energy consumption. Two...

This research addresses an important problem in finance, which is the portfolio selection and management problem. Modern portfolio theory and Markowitz efficient frontier start with a set of assets (securities) and generate an optimal weight combination for the optimal risky portfolio that lies...

According to the US EIA (<CitationRef CitationID="CR16">2009</CitationRef>, <ExternalRef> <RefSource>www.eia.doe.gov</RefSource> <RefTarget Address="http://www.eia.doe.gov" TargetType="URL"/> </ExternalRef>), out of the 15 largest oil producing nations in the world, 7 are not OPEC members, namely Brazil, Canada, China, Mexico, Norway, the Russian Federation, and the United States of America (USA). This paper investigates the causal relationship...</refsource></externalref></citationref>

This study assesses the impacts of introducing an oil products tax on the general economy, economic structure, energy consumption, and air pollutant emissions (CO<Subscript>2</Subscript>, SO<Subscript>2</Subscript>, and NO<Subscript>x</Subscript>) in China using a static computable general equilibrium (CGE) model. The conclusion is that taxation on oil products...</subscript></subscript></subscript>

The biggest challenge of the 21st century is to satisfy the escalating demand of energy and minimize the globally changing climate impact. Earth to air heat exchanger (EAHE) system can effectively reduce heating affects on buildings. An experimental study was carried out by designing EAHE system...

The main objective of this study is to determine and analyze cold and warm air temperature spells in the last 6 years (2007–2012) and reveal their impact on electrical energy consumption in a small-sized city such as Sombor (Serbia) with less than 50,000 inhabitants. Hourly air temperature...

In this paper, the data envelopment analysis (DEA) method is introduced to analyze the input–output efficiency of energy consumption and economic indicators in Beijing city under the influence of short-term climatic factors. Total energy consumption, fixed asset investment, average...

This paper investigates the long- and short-run relationships between energy consumption and economic growth in Australia using the bound testing and the ARDL approach. The analytical framework utilized in this paper includes both production and demand side models and a unified model comprising...

To investigate the influence of China's stock market development on energy consumption, the Grey Relational Analysis and Granger causality test approaches are used. Empirical results indicate that, first, the grey relational grade appears relatively high for both stock market scale and...