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Descripción
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| Technical literature is rich in references pertaining to short-term electricity demand forecasting. These algorithms usually require the information of some variables such as: meteorological data, information about holidays, etc. Among all these variables, the temperature is the most relevant information from the perspective of electricity demand forecasting. This work analyzes the effect of the weather forecasting inaccuracies over the electric demand predictions. It has been performed a complete case study using real-world data from the Spanish mainland system, withdrawing statistically sound conclu-sions | |
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Internacional
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No |
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Nombre congreso
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International work-conference on Time Series 2017 |
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Tipo de participación
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960 |
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Lugar del congreso
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Granada, Spain |
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Revisores
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Si |
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ISBN o ISSN
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978-84-17293-01-7 |
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DOI
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Fecha inicio congreso
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18/09/2017 |
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Fecha fin congreso
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20/09/2017 |
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Desde la página
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960 |
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Hasta la página
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963 |
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Título de las actas
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Proceedings - ITISE 2017 |