Electrical load forecasting plays a vital role in order to achieve the concept of next
generation power system such as smart grid, efficient energy management and better power …

In last decade, the higher penetration of renewable energy resources (RES) in energy
market was encouraged by implementing the energy polices in several developed and …

In this paper, two new Artificial Neural Network MPPT controllers based on fixed and
variable step size have been proposed and investigated. The data required to generate the …

Driven by the demand for intermittent power generation, Energy Storage (ES) will be widely
adopted in future electricity grids to provide flexibility and resilience. Technically, there are …

This book explores how developing solutions with heuristic tools offers two major
advantages: shortened development time and more robust systems. It begins with an …

Reactive power dispatch (RPD) is an optimization problem that reduces grid congestion by
minimizing the active power losses for a fixed economic power dispatch. RPD reduces …

This work deals with the simultaneous coordinated tuning of the flexible AC transmission
systems (FACTS) power oscillation damping controller and the conventional power system …

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In this paper, an efficient and reliable neural active power filter (APF) to estimate and
compensate for harmonic distortions from an AC line is proposed. The proposed filter is …

In this paper, an Artificial Neural Network (ANN) MPPT controller has been proposed. The
data required to generate the ANN model are obtained from the principle of Perturbation and …