Postgraduate YPEC 2020

PG03 – AI offshore wind energy visualization prediction website

Fully utilizing wind energy as energy source has been a long challenge in years. Before building wind farms constructed in the body of water, farm site has to be selected through external information, such as weather data. In addition, the instability and intermittent of wind energy is an important factor restricting the predicting and selecting the wind field and energy field, and hence potentially the wind farm building site. In recent years, the various predictive mechanisms and algorithms has been developed, but on short-term wind power forecast. In our project, we plan to develop models to mimic the time-dependent wind field and energy field and study the applicability of using AI technology deep learning methods for predicting the wind field and energy field offshore. And display the visual prediction results on the website.