This study presents three modeling techniques for the prediction of electricity energy
consumption. In addition to the traditional regression analysis, decision tree and neural networks …

This paper reports the development of the Hong Kong consumer satisfaction index (HKCSI)
– a new type of consumer‐oriented economic performance indicator representing the quality …

During the last decade, domestic energy consumption has increased substantially in Hong
Kong, rising from 5718 GW h in 1991 to 9111 GW h in 2001. This study provides descriptive …

Modeling residential energy consumption survey (RECS) data is a complex socio-technical
problem that involves macroeconomics, climate, physical characteristics of housing, …

With the popularity of the deep learning model in the engineering fields, it has attracted
significant research interests in the economic and finance fields. In this paper, we use the deep …

Large language models (LLMs) have emerged as valuable tools for many natural language
understanding tasks. In safety-critical applications such as healthcare, the utility of these …

The precious metal markets are subject to the influence of complicated factor characterized
by the interrelationship and nonlinearity with the short burst of noise data components. In this …

Fluctuations in the crude oil price allied to risk have increased significantly over the last decade
frequently varying at different risk levels. Although existing models partially predict such …

Spurred by the policy of China’s Belt and Road Initiative, Chinese e-Commerce companies
have found great opportunities in selling goods overseas. The cross-border e-Commerce …

As the crude oil price movement is influenced by increasingly diverse range of risk factors in
the crude oil markets, the crude oil price exhibits more complex nonlinear behavior and …