In the last few years, methods falling within the family of randomization-based machine
learning models have grasped a great interest in the Artificial Intelligence community, mainly …

A novel fuzzy-based cascade ensemble of regression models is proposed to address a
problem of extreme wind speed events forecasting, using data from atmospheric reanalysis …

The development of technology has strongly affected regional urbanization. With
development of mobile communication technology, intelligent devices have become …

Renewable energies (REs) are trending as the technology to improve its efficacy moving at
a fast pace. REs has been utilized in many domestic and industrial premises as a surplus …

A blockchain-based decentralized distributed energy trading system in a microgrid
environment is described in this paper. The defined system comprises a mathematical …

Empirical mode decomposition (EMD) is a signal processing method that produces a data-
driven multiresolution representation in time-domain suited to characterize time-varying and …

This paper evaluates the PQ problems occurring in medium distribution utilities which are
exacerbated by critical loads connected to them. Using Custom Power Devices, sinusoidal …

Power sectors aim to satisfy the power essentiality comfortably and then transferring and
assigning to the specific load hubs honouring its feature and loyalty with feasible tariff. This …

The contribution of wind energy to the world energy consumption has been growing
substantially and represents a large share in the production of clean energy. However, wind …