Nowadays, direct current (DC) microgrid is gaining importance due to the wide utilization of
DC loads, integration of solar photovoltaic (PV) and energy storage devices, and no …

Particle Filters (PFs) are commonly used Sequential Monte Carlo (SMC) algorithms to
process a never-ending stream of measurements relating to a nonlinear non-Gaussian state …

In order to ensure a thorough analysis, all components placed in a microgrid would have to
be considered to guarantee an effective energy management. To this aim, various …

Conventional power grids consist of a complex fabric of generation plants, substations and
transmission lines that help supply electricity to cities, homes and small businesses …

The world has the challenge of expanding electricity production meeting demand and
ensuring energy security for the support and development of society. Given data and …

Abstract Sequential Monte Carlo (SMC) methods are a well-established family of Bayesian
inference algorithms for performing state estimation for Non-Linear Non-Gaussian models …

In a competitive electricity market, an accurate forecasting of energy prices is an important
activity for all the market participants. This paper proposes a novel approach based on …

The availability of fossil fuels in the future and the environmental effects such as the carbon
footprint of the existing methodologies to produce electricity is an increasing area of …

A microgrid is defined by the US Department of Energy (DOE) as “a group of interconnected
loads and distributed energy resources (DERs) with clearly defined electrical boundaries …

The aim of this paper is to schedule a day ahead operation of multiple grid connected
microgrids using two stage optimization scheme. In the first stage, each microgrid forecasts …