Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …

Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …

The emerging concept of smart buildings, which requires the incorporation of sensors and
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …

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 …

Energy consumption is on the rise in developing economies. In order to improve present and
future energy supplies, forecasting energy demands is essential. However, lack of accurate …

Consciousness of the need to decrease our unnatural weather changes and of the critical
increase in the costs of traditional sources of energy have motivated many nations to provide …

In recent decades, China's rapid economy development has been coupling with the steadily
increasing household consumption, which, in turn, leads to ever-growing energy …

Given the rapid increase of residential energy consumption in Beijing, the question of how to
promote residential energy-saving behavior is an emerging topic that is increasingly …

An accurate battery pack state of health (SOH) estimation is important to characterize the
dynamic responses of battery pack and ensure the battery work with safety and reliability …

Road automobiles are deemed one of the major resources of energy consumption
throughout cities. To realize and design sustainable urban transport, it is essential to …