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 …

Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

The alpha–beta filter algorithm has been widely researched for various applications, for
example, navigation and target tracking systems. To improve the dynamic performance of …

Energy consumption prediction has always remained a concern for researchers because of
the rapid growth of the human population and customers joining smart grids network for …

Smart home is a concept that aims to maximize the comfort of occupant while consuming
energy as low as possible. The comfort and energy consumption are contradicting factors in …

Abstract Internet of Thing (IoT) has emerged as the one of best solution to provide service for
different applications such as smart cities and precision agriculture. In the infrastructure …

There is a drastic increase in urbanization over the past few years, which requires energy‐
efficient and optimized solutions for transportation, governance, quality of life in a smart city …

As Smart Cities development grows, deploying advanced technologies, such as the Internet
of Things (IoT), Cyber–Physical Systems, and particularly, Artificial Intelligence (AI) …

This paper introduces new learning to the prediction model to enhance the prediction
algorithms' performance in dynamic circumstances. We have proposed a novel technique …

Superabundant utilization of electricity in the residential sector is one of the major reasons
for frequent peak demand. Hence, power sector necessitates an appropriate solution to …