Integrating the various embedded devices and systems in our environment enables an
Internet of Things (IoT) for a smart city. The IoT will generate tremendous amount of data that …

The emergence of smart grid technologies and applications has meant there is increasing
interest in utilising smart meters. Smart meter penetration has significantly increased over …

This paper presents and discusses data-driven predictive models for the energy use of
appliances. Data used include measurements of temperature and humidity sensors from a …

Smart products supported by new step-changing technologies, such as Internet of Things
and artificial intelligence, are now emerging in the market. Smart products are cyber physical …

The residential sector is currently one of the major contributors to the global energy balance.
However, the energy demand of residential users has been so far largely uncontrollable and …

Electricity distribution is moving towards active, more flexible, smarter and decentralized
energy systems. This transition requires System Operators (SO) to dynamically monitor and …

The smart meter data analysis contributes to better planning and operations for the power
system. This study aims to identify the drivers of residential energy consumption patterns …

Abstract The Internet of Things (IoT) era is evolving into sensor initiated, actuation-driven,
and machine intelligence-based decision making platform for smart cities. A smart city …

Prediction of the energy consumed by household appliances is a challenging research topic
owing to a transition toward the Internet of Everything. Although classical machine learning …

The smart grid is an innovative energy network that will improve the conventional electrical
grid network to be more reliable, cooperative, responsive, and economical. Within the …