How to predict wind farm power generation each year

How do wind farms predict power production?

They developed a new flow model which predicts the power production of each turbine in the farm depending on the incident winds in the atmosphere and the control strategy of each turbine. While based on flow-physics, the model learns from operational wind farm data to reduce predictive error and uncertainty.

Can wind speed data be used to predict power output?

Kusiak, Zheng, and Song have shown how wind speed data may be used to predict the power output of a wind farm based on time-series prediction modeling. Neural networks are a very popular learning approach for wind power forecasting based on given time series.

How to predict future wind speed?

Generally, different models need to be configured according to the characteristics of each sub-sequence to predict the future wind speed more accurately. Among them, prediction methods, such as Support Vector Machine (SVM) and Artificial Neural Network (ANN) are the most commonly used models (Wu and Xiao, 2019).

Can wind power generation forecasts be forecasted at seasonal timescales?

While forecasts of wind power generation at lead times from minutes and hours to a few days ahead have been produced with very advanced methodologies (e.g. dynamical downscaling, machine learning or statistical downscaling [ 17 ]), a number of difficulties make the provision of generation forecasts at seasonal timescales challenging.

How accurate is a wind energy conversion model?

To demonstrate the effectiveness of the proposed model, the method was tested on historical power generation data of a practical wind energy conversion system installed in Taichung coast. The developed model showed a good accuracy, with a mean absolute error of 2.6589%.

What is the future of wind energy forecasting?

Based on the research results of big data and AI, we look forward to the future development of wind energy forecasting from two aspects: data and artificial intelligence forecasting technologies. Existing research on big data mainly focuses on exploring structured data, such as wind speed.