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MATLAB Implementation of Electricity Demand Forecasting Using Double and Triple Seasonal Exponential Smoothing

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MATLAB Implementation of Electricity Demand Forecasting Using Double and Triple Seasonal Exponential Smoothing

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dc.contributor.advisor García Díaz, Juan Carlos es_ES
dc.contributor.author Trull Domínguez, Óscar es_ES
dc.date.accessioned 2011-07-22T12:19:11Z
dc.date.available 2011-07-22T12:19:11Z
dc.date.created 2010-11
dc.date.issued 2011-07-22
dc.identifier.uri http://hdl.handle.net/10251/11282
dc.description.abstract Control and Scheduling of the electricity demand in power supply systems using time series forecasting is nowadays a powerful methodology used worldwide in all power distribution systems. The main reason why it is so important is very simple: The electricity cannot be saved in big quantities, therefore the production and the consumption must match precisely, in order not to waste energy and save costs. Time series forecasting is a very powerful tool for power supply systems, and it is used worldwide by most of the system regulators or network distributors to predict precisely the electricity demand. These series use to show more than one seasonal pattern, hence double seasonal exponential smoothing has become the best solution for making forecasts for such kind of time series. Despite of this importance, there isn't nowadays any software that deploys this seasonal model. The regulators are demanding better tools in forecasting that capture this multiple seasonal pattern, and the later works on double and triple seasonal exponential smoothing seems to be a feasible solution. This project concentrates on a MATLAB implementation of Taylor's double seasonal exponential smoothing model, and explains its fundamentals and how it works. Later, it uses an hourly recorded time series of electricity demand in Spain to draw conclusions about the advantages of using this newer model for predictions. es_ES
dc.format.extent 89 es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Holt winters es_ES
dc.subject Time series es_ES
dc.subject Exponential smoothing es_ES
dc.subject Series temporales es_ES
dc.subject Suavizado exponencial es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.other Máster Universitario en Ingeniería de Análisis de Datos, Mejora de Procesos y Toma de Decisiones-Màster Universitari en Enginyeria D'Anàlisi de Dades, Millora de Processos i Presa de Decisions es_ES
dc.title MATLAB Implementation of Electricity Demand Forecasting Using Double and Triple Seasonal Exponential Smoothing es_ES
dc.type Tesis de máster es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat es_ES
dc.description.bibliographicCitation Trull Domínguez, Ó. (2010). MATLAB Implementation of Electricity Demand Forecasting Using Double and Triple Seasonal Exponential Smoothing. http://hdl.handle.net/10251/11282 es_ES
dc.description.accrualMethod Archivo delegado es_ES


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