During the past decade, wind power generation has been rapidly developed. As a key
component of feasibility analysis, the cost modelling and economic analysis directly affect …

As global energy crises and climate change intensify, offshore wind energy, as a renewable
energy source, is given more attention globally. The wind power generation system is …

Wind energy has strong volatility and intermittent. Accurate wind speed prediction can not
only improve the safety of the system, but also optimize dispatch and reduce economic …

Wake interactions between wind turbines have a great impact on the overall performance of
a wind farm. In this work, a novel deep learning method, called Bilateral Convolutional …

This paper dedicates to develop a systematic approach of design and multi-dimensional
performance optimization of the Supercritical carbon dioxide (SCO 2) compressor. A 5 MW …

This paper presents a data-driven wind farm layout optimization framework that uses a
machine learning wake model that considers physical control stages. The machine learning …

Wind energy is one of the renewable energy sources whose production capacity has
significantly increased in recent years due to the rapid technology development. However …

Abstracts Wind energy resources will be impacted by climate change. A novel hybrid
ensemble technique is presented to improve long-term wind speed projections using …

Wind farm layout optimization (WFLO) has become a significant approach to enhancing the
efficiency of wind energy utilization. However, load also represents a critical factor that must …

With the increase in wind turbine sizes, careful investigation into wind turbine wake effect is
crucial for operational safety. This study proposes a two-way fluid-structure interaction (FSI) …