TY - GEN
T1 - Neural network for wind power generation with compressing function
AU - Li, Shuhui
AU - Wunsch, Don C.
AU - O'Hair, Edgar
AU - Giesselmann, Michael G.
PY - 1997
Y1 - 1997
N2 - The power generated by electric wind turbines changes rapidly because of the continuous fluctuation of wind speed and direction. It is important for the power industry to have the capability to estimate this changing power. In this paper, the characteristics of wind power generation are studied and a neural network is used to estimate it. We use real wind farm data to demonstrate a neural network solution for this problem, and show that the network can estimate power even in changing wind conditions.
AB - The power generated by electric wind turbines changes rapidly because of the continuous fluctuation of wind speed and direction. It is important for the power industry to have the capability to estimate this changing power. In this paper, the characteristics of wind power generation are studied and a neural network is used to estimate it. We use real wind farm data to demonstrate a neural network solution for this problem, and show that the network can estimate power even in changing wind conditions.
UR - http://www.scopus.com/inward/record.url?scp=0030674698&partnerID=8YFLogxK
U2 - 10.1109/ICNN.1997.611648
DO - 10.1109/ICNN.1997.611648
M3 - Conference contribution
AN - SCOPUS:0030674698
SN - 0780341228
SN - 9780780341227
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 115
EP - 120
BT - 1997 IEEE International Conference on Neural Networks, ICNN 1997
Y2 - 9 June 1997 through 12 June 1997
ER -