Purpose From a technological determinist perspective, machine learning (ML) may
significantly contribute towards sustainable development. The purpose of this study is to …

Heterogeneous ensemble learning has received increasing attention in building energy
prediction research because it provides more stable and accurate predictions than the …

Due to data collection, there is a potential risk concerning security and privacy, so IoT
reliability and survivability are of utmost concern. In this paper, we address the concern …

Abstract The Internet of Things (IoT) environment comprises heterogeneous transmission
channels. The statuses of these channels may change rapidly due to dynamic variations in …

Smart homes, powered mostly by Internet of Things (IoT) devices, have become very
popular nowadays due to their ability to provide a holistic approach towards effective energy …

In smart homes, the management of energy is gaining huge significance among researchers
in recent times. This paper presents a system for predicting power utilization and scheduling …

This paper presents a simulation study focused on optimizing user comfort and energy
consumption in smart buildings. Managing energy efficiently in smart buildings poses a …

Abstract The performance of Capacitive Voltage Transformer (CVT) degrades over time,
making measurement error monitoring a research hotspot in the field of smart grid. At …

Recently, a noticeable increase in the shortage of energy resources has been observed,
coupled with a rapidly escalating demand for energy. In response to this challenge, this …

The recurrent load shedding crisis in South Africa has highlighted the need to accurately
predict electricity consumption for residential buildings. This has significant ramifications for …