Multiscale wind power generation prediction
Palapati, Suresh; Ardekani, Iman; Bahadornejad, Momen
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Citation:Palapati, S., Ardekani, I., & Bahadornejad, M. (2020, Oct). Multiscale wind power generation prediction. Paper presented at the Unitec Research Symposium, Mount Albert Campus, Unitec.
Permanent link to Research Bank record:https://hdl.handle.net/10652/5334
OBJECTIVE: • To come up with good forecast model for Wind Power Generation for hour and day ahead . • As NZ is looking at increasing the share of wind power from 5% towards 20%. • The increase towards 20% will cause problems for grid and electricity market, due to its variable nature. • Good forecasting model is very important to address above issues and enable to operate more efficiently . • The prices for electricity also depend on the wind power share, as forecasted wind power will be major factor. • Help to reduce the use of hydro power and keep water for use when there is no wind