Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …

The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …

New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …

Building Energy prediction has emerged as an active research area due to its potential in
improving energy efficiency in building energy management systems. Essentially, building …

The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …

Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …

Abstract Multi-Model Ensembles (MMEs) are used for improving the performance of GCM
simulations. This study evaluates the performance of MMEs of precipitation, maximum …

With the gowning demand of improving quality and benefit of unconventional resources,
time-series production prediction plays an increasingly essential role in economic …

The Electric Energy Consumption Prediction (EECP) is a complex and important process in
an intelligent energy management system and its importance has been increasing rapidly …

Air pollution is a leading cause of health concerns and climate change, one of humanity's
most dangerous problems. This problem has been exacerbated by an overabundance of …