Multiscale wind power generation prediction
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Authors
Palapati, Suresh
Ardekani, Iman
Bahadornejad, Momen
Ardekani, Iman
Bahadornejad, Momen
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2020-10-09
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Conference Contribution - Oral Presentation
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Keyword
New Zealand
wind power
wind energy prediction
literature reviews
renewable energy
wind power
wind energy prediction
literature reviews
renewable energy
ANZSRC Field of Research Code (2020)
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.
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]
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