Effective Short -term Forecasting of Wind Farms Power

Elżbieta Bogalecka; Tomasz Rubanowicz

doi:10.12736/issn.2300-3022.2015301

Effective Short -term Forecasting of Wind Farms Power

Abstract

Forecasting a specific wind farm's generation capacity within a 24 hour perpective requires both a reliable forecast of wind, as well as supporting tools. This tool is a dedicated model of wind farm power. This model should include not only general rules of wind to mechanical energy conversion, but also the farm's specific features. This paper present analytical, statistical, and neuron models of wind farm power. The study is based on data from a real wind farm. Most attention is paid to the neuron models, due to a neuron network's capacity to restore farm-specific details. The research aim to answer the headline question: whether and to what extent a wind farm's power can be forecast short-term.

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Authors (2)

Elżbieta Bogalecka dr hab. inż.
Tomasz Rubanowicz mgr
- ENERGA-OBRÓT SA .

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DOI:: Digital Object Identifier (open in new tab) 10.12736/issn.2300-3022.2015301
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Category:: Articles
Type:: artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:: Acta Energetica no. 24, pages 4 - 13,
ISSN: 2300-3022
Language:: English
Publication year:: 2015
Bibliographic description:: Bogalecka E., Rubanowicz T.: Effective Short -term Forecasting of Wind Farms Power// Acta Energetica. -Vol. 24., nr. 3 (2015), s.4-13
DOI:: Digital Object Identifier (open in new tab) 10.12736/issn.2300-3022.2015301
Verified by:: Gdańsk University of Technology