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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
energy
One step ahead: Short-term wind power forecasting and intelligent predictive control based on data analytics
IEEE Power and Energy Magazine, Volume 10, No. 5, Article 6269206, Year 2012
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Description
The intelligent integration of wind power into the existing electricity supply system will be an important factor in the future energy supply in many countries. Wind power generation has characteristics that differ from those of conventional power generation. It is weather dependent in that it relies on wind availability. With the increasing amount of intermittent wind power generation, power systems encounter more and more short-term, unpredicted power variations. In the power system, supply and demand must be equal at all times. Thus, as levels of wind penetration into the electricity system increase, new methods of balancing supply and demand are necessary. © 2003-2012 IEEE.
Authors & Co-Authors
Venayagamoorthy, Ganesh Kumar
United States, Clemson
Clemson University
Erlich, István
Germany, Duisburg
Universität Duisburg-essen
Statistics
Citations: 55
Authors: 2
Affiliations: 3
Identifiers
Doi:
10.1109/MPE.2012.2205322
ISSN:
15407977