This article presents a review of current advances and prospects in the field of forecasting
renewable energy generation using machine learning (ML) and deep learning (DL) …

Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

Support of artificial intelligence, renewable energy and sustainability is currently increasing
through the main policies of developed countries, eg, the White Paper of the European …

Based on the results of research in physical asset management, Maintenance,
Replacement, and Reliability: Theory and Applications introduces students to the tools for …

As wind turbines continue to grow in size, they are increasingly being deployed offshore.
This causes operation and maintenance of wind turbines becoming more challenging …

Diagnosis and prognostics of rolling element bearings have been widely studied in recent
years, but very few researches were dealing with high-speed train wheel set bearings …

With the increasing of the installed capacity of wind power, the condition monitoring and
maintains technique is becoming more important. Wind Turbines (WT) gearbox is one of the …

It is widely accepted that conventional boost algorithms are of low efficiency and accuracy in
dealing with big data collected from wind turbine operations. To address this issue, this …

As grid-connected wind farms become more common in the modern power system, the
question of how to maximize wind power generation while limiting downtime has been a …

The entire life cycle of a turbofan engine is a type of asymmetrical process in which each
engine part has different characteristics. Extracting and modeling the engine symmetry …