Deep learning is currently widely used in a variety of applications, including computer vision
and natural language processing. End devices, such as smartphones and Internet-of-Things …

The United Nations' sustainable development goals have emphasized implementing
sustainability to ensure environmental security for the future. Affordable energy, clean …

Deep learning is a promising approach for extracting accurate information from raw sensor
data from IoT devices deployed in complex environments. Because of its multilayer structure …

Accurate electric load forecasting is important due to its application in the decision making
and operation of the power grid. However, the electric load profile is a complex signal due to …

Driven by the increasing scale and high profile cybersecurity incidents related public data,
recent years we have witnessed a paradigm shift in understanding and defending against …

The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …

Traditional power grids are being transformed into smart grids (SGs) to address the issues in
the existing power system due to uni-directional information flow, energy wastage, growing …

With the effective result of IoT architecture in all research areas, we propose IoT framework
based energy efficient smart and intelligent street road lighting system that consist of IoT …

In today's ecosystem of energy management, the contribution of Internet of Things (IoT) to
smart grids has acquired immense potential due to its multi-faceted advantages in various …

Over the past decades, electric power systems (EPSs) have undergone an evolution from an
ordinary bulk structure to intelligent flexible systems by way of advanced electronics and …