Smart Grid technology has been considered an attractive research issue due to its efficiency
in solving energy demand, storage, and power transmission. The integration of IoT …

The management of clean energy is usually the key for environmental, economic, and
sustainable developments. In the meantime, the energy management system (EMS) ensures …

Worldwide, the penetrations of photovoltaic (PV) and energy storage systems are increased
in power systems. Due to the intermittent nature of PVs, these sustainable power systems …

With an ever-increasing number of electric vehicles (EVs) on the roads, there is a high
demand for EV charging infrastructure. The present charging infrastructure in the market …

Fractional calculus plays a fundamental role in understanding the physics of nonlinear
systems due to its heritage of uncertainty, nonlocality and complexity. In this study, novel …

The implementation of machine learning techniques allows to prevent in advance the
degeneration of any component present in a wind turbine, as well as the detection and …

Artificial neural network (ANN) provides superior accuracy for nonlinear alternating current
(AC) state estimation (SE) in smart grid over traditional methods. However, research has …

Supervision and fault diagnosis in wind turbines using automatic learning techniques allow
early detection of the degeneration of the components, as well as the detection and …

With the deployment of new elements in the smart grid, traditional state estimation methods
are challenged by growing dynamics and system size. Artificial neural network (ANN) based …

This paper is concerned with the robust resilient H∞ state estimation problem for time-
varying recurrent neural networks (TVRNNs) with probabilistic quantization under variance …