Automate Wind Power Curve Generation and Modelling
A Machine Vision Assisted Method for Automating Wind Power Curve Modeling
Tags: City University of Hong Kong, Hong Kong, Energy & Environment, Industrial Automation & Manufacturing
This innovation automates wind power curve (WPC) generation and modeling for wind turbines, enhancing renewable wind energy management. It uses machine vision and deep learning to assess wind turbine performance from supervisory control and data acquisition (SCADA) data, eliminating the need for manual data preprocessing. The method produces accurate WPCs, streamlining wind farm assessments and maintenance. This technology simplifies turbine selection, performance monitoring, and wind power prediction. It represents a significant advancement in operational efficiency and accuracy for the wind energy sector.
IP Type or Form Factor: Patent Pending; Process & Method; Software & Algorithm
TRL: 4 - minimum viable product built in lab
Industry or Tech Area: Wind Energy; Industrial Automation
