High penetration of renewable energy sources, especially weather-dependent sources, has
increased the power systems uncertainties. For any analysis in power systems such as …

A distributed energy resource (DER) system is a multi-input and multi-output energy system
consisting of small-scale technologies, which provide electricity and thermal energy close to …

This paper reviews the current techniques used in energy management systems to optimize
energy schedules into microgrids, accounting for uncertainties for various time frames (day …

The advancements in smart power grid and the advocation of “green communications” have
inspired the wireless communication networks to harness energy from ambient …

Power plants supplied by renewables are expanding around the world, increasing the
sustainability of the energy sector. In this context, small islands are heavily reliant on fossil …

Reliable energy supply remains a crucial challenge in the Internet of Things (IoT). Although
relying on batteries is cost-effective for a few devices, it is neither a scalable nor a …

In this article, we present a data-driven nonparametric chance-constrained optimization for
microgrid energy management. The proposed approach imposes no assumption on …

Energy sector of develo** nations is faced with myriads of problems ranging from
insufficient generation to poor grid infrastructure. Introducing variable renewable energy …

Globally, effective and efficient healthcare is critical to the wellbeing and standard of living of
any society. Unfortunately, several distant communities far from the national grid do not have …

This paper proposes a simple and practical approach to model the uncertainty of solar
irradiance and determines the optimized day-ahead (DA) schedule of electricity market. The …