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  4. Prediction of Electricity Generation by Wind Farms Based on Intelligent Methods: State of the Art and Examples

Prediction of Electricity Generation by Wind Farms Based on Intelligent Methods: State of the Art and Examples

JEECS.
2022;
Volume 8, Number 2
: pp. 104 – 109
https://doi.org/10.23939/jeecs2022.02.104
Received: October 12, 2022
Revised: October 31, 2022
Accepted: November 07, 2022

L. Bugaieva, O. Beznosyk. Prediction of electricity generation by wind farms based on intelligent methods: state of the art and examples. Energy Engineering and Control Systems, 2022, Vol. 8, No. 2, pp. 104 – 109. https://doi.org/10.23939/jeecs2022.02.104

Authors:
  1. Liudmyla Bugaieva
  2. Oleksandr Beznosyk
1
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
2
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

With the rapid growth of wind energy production worldwide, the Wind Power Forecast (WPF) will play an increasingly important role in the operation of electricity systems and electricity markets. The article presents an overview of modern methods and tools for forecasting the generation of electricity by wind farms. Particular attention is paid to the intelligent approaches. The article considers the issues of preparation and use of data for such forecasts. It presents the example of a forecasting system based on neural networks, proposed by the authors of the paper. Wind energy has a great future all over the world and in Ukraine as well. Therefore, the study conducted by the authors is relevant.

wind power forecasting
intelligent methods
neural networks
statistical approach
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