Multiscale wind power generation prediction

Palapati, Suresh; Ardekani, Iman; Bahadornejad, Momen

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Date
2020-10-09
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
Abstract
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 [17]. • 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 [11]
Keywords:
New Zealand, wind power, wind energy prediction, literature reviews, renewable energy
ANZSRC Field of Research:
090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells)
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