Energy efficiency is a critical problem that drives consideration of smart cities and urban
areas' development. Energy security and the smart environment face enormous problems …

In current energy production and distribution system, a smart energy meter has been a
significant conceptual paradigm. There is a dire requirement to make energy usage more …

Purpose This paper aims to focus on data analytic tools and integrated data analyzing
approaches used on smart energy meters (SEMs). Furthermore, while observing the diverse …

A city is considered to be smart when the application of Artificial Intelligence (AI) and the
Internet of Things (IoT) is integrated with it. This enables the collection of data from people …

People nowadays are ignoring the usage of electricity and its cost by preferring different
kinds of appliances. Rising energy costs and demand have led to many too smart ways of …

In this work, an efficient energy management (EEM) approach is proposed to merge IoT
technology to enhance electric smart meters by working together to satisfy the best result of …

With the increase in global energy demand, the need for efficient metering infrastructure and
energy wastage reduction is essential. Smart cities with smart grid (SG) technology can use …

This work presents convincing results from research on implementation of prediction and
optimization models based on machine learning for ensuring economic load dispatch. It is …

Air temperature, type of the day and humidity are factors that have significant impact on
electricity consumption and power system load on a short term. In the paper, neural …

Aim: Is developing of short-term load forecasting math model of the electrical engineering
complex of the district regional electric grid 6-35 kV with the use of artificial neural networks …