The use of Internet of Things (IoT) for smart energy management is becoming increasingly
popular as it allows for better control and management of energy consumption. It provides a …

The usage of IoT-based smart meter in electric power consumption shows a significant role
in helping the users to manage and control their electric power consumption. It produces …

This paper develops a novel hybrid model for forecasting electrical consumption based on
several deep learning and optimization models such as Support Vector Regression (SVR) …

With the development of modern information technology (IT), a smart grid has become one
of the major components of smart cities. To take full advantage of the smart grid, the …

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 …

With the growth of forecasting models, energy forecasting is used for better planning,
operation, and management in the electric grid. It is important to improve the accuracy of …

Today, the increasing importance of energy resources in the formation and growth of
economic processes, as well as the necessity of utilizing these resources based on …

Using distributed energy resources can fulfil an individual's energy requirement, reducing
electricity bills and creating sustainable energy solutions. Earlier, customers needed help …

Predicting electricity consumption is notably essential to provide a better management
decision and company strategy. This study presents a hybrid machine learning model by …

The increasing world population and availability of energy hungry smart devices are major
reasons for alarmingly high electricity consumption in the current times. So far, various …