Wind power plant power generation prediction

What is wind power prediction?

Wind power prediction involves applying state-of-the-art algorithms to the field of wind power generation so that wind power generation can be better connected to the electricity grid, and key technologies have developed rapidly.

How to forecast wind power generation?

According to different modeling methods, wind power generation forecasting can be divided into physical methods, statistical methods, artificial intelligence methods, and deep learning methods.

What is short-term wind power generation prediction?

Short-term wind power generation forecast. According to the prediction principles, wind power prediction can be divided into physical methods, statistical analysis methods, artificial intelligence methods, methods based on deep learning, and combined prediction models.

How can a prediction model for wind power be improved?

These methods have a complex structure and too many parameter adjustments for each method, resulting in a long calculation time that should be improved in future works. (D) The prediction models for wind power can be established using cross-validation combined with grid search to improve their accuracy and reliability.

How to predict wind power output?

The prediction of wind power output is part of the basic work of power grid dispatching and energy distribution. At present, the output power prediction is mainly obtained by fitting and regressing the historical data. The medium- and long-term power prediction results exhibit large deviations due to the uncertainty of wind power generation.

Can wind power plant data be used to predict wind speed?

However, as wind power plant technology becomes more sophisticated, an increasing amount of unstructured data, such as motor temperature data, and satellite image data becomes available. Currently, there is little research on such data, but such data have great potential application value for effective and timely forecasting of wind speed.