The demand for electricity is increased due to the development of the industry, the
electrification of transport, the rise of household demand, and the increase in demand for …

Recently, numerous significant advances in control methods have been made in Microgrid
development especially in grid-connected mode to ensure a reliable and sustainable …

Under the carbon neutrality goal, the projects to develop zero-carbon microgrids are
emerging all over the world. However, the categories, trends, challenges, and future …

Controlling active and passive systems in buildings with the aim of optimizing energy
efficiency and maintaining occupants' comfort is the major task of building management …

Abstract Machine learning (ML) plays an essential role in various scientific fields. ML
streamlines renewable energy systems, boosting efficiency and production, as global …

In this work, a Hardware-In-the-Loop (HIL) framework is introduced for the implementation
and the assessment of predictive control approaches in smart buildings. The framework …

Microgrids consist of distributed energy resources such as photovoltaic (PV) systems, wind
energy conversion systems, energy storage devices and backup generators. Due to the …

Recent studies showed that energy consumption in buildings could be efficiently reduced by
including recent IoT (Internet of Things) and Big-Data technologies into microgrid systems. In …

Accurate time series forecasts are crucial for various applications, such as traffic
management, electricity consumption, and healthcare. However, limitations in models and …

This article is an introductory work towards a larger research framework relative to Scientific
Prediction. It is a mixed between science and philosophy of science, therefore we can talk …