Short term wind power forecasting in South Africa using neural networks

Short term wind power forecasting in South Africa using neural networks

MSc (Statistics) === Department of Statistics === Wind offers an environmentally sustainable energy resource that has seen increasing global adoption in recent years. However, its intermittent, unstable and stochastic nature hampers its representation among other renewable energy sources. This work...

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Bibliographic Details
Main Author: Daniel, Lucky Oghenechodja
Other Authors: Sigauke, Caston
Format: Others
Language:en
Published: 2020
Subjects:
Additive quantile regression averaging
Forecasts combination
Machine learning
Point and interval forecasting
Renewable energy
Wind energy
621.3121360968
Wind power > South Africa
Power resources > South Africa
Renewable energy resources > South Africa
Wind energy conversion systems > South Africa
Wind forecasting > South Africa
Weather > Forecasting
Online Access:Daniel, Lucky Oghenechodja (2020) Short term wind power forecasting in South Africa using neural networks. University of Venda, South Africa.<http://hdl.handle.net/11602/1591>.
http://hdl.handle.net/11602/1591

Internet

Daniel, Lucky Oghenechodja (2020) Short term wind power forecasting in South Africa using neural networks. University of Venda, South Africa.<http://hdl.handle.net/11602/1591>.
http://hdl.handle.net/11602/1591

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