Classification problems and their corresponding solving approaches constitute one of the
fields of machine learning. The application of classification schemes in Renewable Energy …

Wind energy is one of the most rapidly developing renewable energy sources during the
past decade, supplying about 3% of global electricity consumption. Consequently, the power …

Wind turbines (WTs) generally comprise several complex and interconnected systems, such
as hub, converter, gearbox, generator, yaw system, pitch system, hydraulic system control …

The algorithms utilized for the big data learning must satisfy three conditions to improve the
performance in the processing of big quantity of data:(1) they need to be compact,(2) they …

Misalignment is an important cause for the early failure of large doubly-fed wind turbines
(DFWT). For the non-stationary characteristics of the signals in the transmission system of …

Shunt active power filters (SAPF) topology based on multicellular converter are used in
literature to compensate reactive power and mitigate harmonics generated by nonlinear …

This research provides a method that accelerates learning and avoids local minima to
improve the policy gradient algorithm's learning process. Reinforcement learning has the …

Active learning (AL) is a promising way to efficiently build up training sets with minimal
supervision. A learner deliberately queries specific instances to tune the classifier's model …

The increased cost of fuel and maintenance in aircraft system lead to the concept of more
electric aircraft, moreover this concept increase the use of power electronic converters in …

In this paper, a hybrid controller with observer is introduced for the estimation and rejection
of a disturbance. It is based on the combination of the sliding mode technique and the output …