Electrical engineering

Physics

Geology

Meteorology

Adaptive neuro fuzzy inference system

Wind power forecasting

Term (time)

Algorithm

Machine learning

Time series

Engineering

Series (stratigraphy)

Paleontology

Artificial intelligence

Wind speed

Fuzzy control system

Power (physics)

Geography

Control (management)

Computer science

Quantum mechanics

Wind power

Electric power system

Wavelet

Control theory (sociology)

Artificial neural network

Fuzzy logic

International Journal of Power Electronics and Drive Systems (IJPEDS)

This paper proposes a Wavelet based Adaptive Neuro-Fuzzy Inference System (WANFIS) applied to forecast the wind power and enhance the accuracy of one step ahead with a 10 minutes resolution of real time data collected from a wind farm in North India. The proposed method consists two cases. In the first case all the inputs of wind series and output of wind power decomposition coefficients are carried out to predict the wind power. In the second case all the inputs of wind series decomposition coefficients are carried out to get wind power prediction. The performance of proposed WANFIS is compared to Wavelet Neural Network (WNN) and the results of the proposed model are shown superior to compared methods.

Very-Short Term Wind Power Forecasting through Wavelet Based ANFIS