The modernisation of the world has significantly reduced the prime sources of energy such
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …

The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …

This paper proposes a novel framework for home energy management (HEM) based on
reinforcement learning in achieving efficient home-based demand response (DR). The …

Nowadays, a basic commodity for a human being to lead a standard lifestyle with human
comfort irrespective of the nature of environmental conditions is electric power. The …

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 …

Although microgrids facilitate the increased penetration of distributed generations (DGs) and
improve the security of power supplies, they have some issues that need to be better …

Uncertainty modeling of renewable energy sources, load demand, electricity price, etc.
create a high volume of data in smart grids. Accordingly, in this article, a precise forecasting …

Smart grids have been gradually replacing the traditional power grids since the last decade.
Such transformation is linked to adding a large number of smart meters and other sources of …

The short-term load forecasting is crucial in the power system operation and control.
However, due to its nonstationary and complicated random features, an accurate forecast of …

A novel short-term solar power prediction model is presented in this work, by utilizing the
learning ability of Long-Shot-Term-Memory network (LSTM) based deep learning (DL) …