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http://hdl.handle.net/10609/102266
Title: Predicción de consumos eléctricos en Inglaterra, Gales y Escocia a través de datos de medidores inteligentes
Author: Arias Martín, Jorge
Director: Trilles Oliver, Sergi
Tutor: Casas Roma, Jordi
Keywords: forecast energy consumption
ARIMA
LSTM
Issue Date: 9-Jun-2019
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The objective of this TFM is to predict the energy consumption of the different geographical areas of London, Wales and Scotland, determining which climatic variables or weekdays or holidays determine the changes in consumption in the population. With the new European regulation that forces energy suppliers to deploy smart meters in all homes, usable information can be obtained when predicting more accurately the energy consumption in different geographical areas. Companies buy energy in the energy market, which means that energy not consumed as it can not be stored will be lost, which implies the generation of new energy through traditional means with the consequent damage to the planet and warming global, as this is a scarce resource. This energy loss can be minimized if the more balanced purchase is rationalized with the consumption that the population will exercise thanks to prediction obtained through algorithms. This purchase can be predicted from the consumptions made in the same times of historical, and cross with data of the climate, temperature, holidays and other sources of data to predict with greater accuracy what consumption will be made during the next period.
Language: Spanish
URI: http://hdl.handle.net/10609/102266
Appears in Collections:Bachelor thesis, research projects, etc.

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TFM-Prediccion_de_Consumos_Electricos_JARIASMARTIN.ipynbFichero para ejecutar en Python del TFM-Prediccion_de_Consumos_Electricos_JARIASMARTIN1.66 MBUnknownView/Open
jariasmartinTFM0619memoria.pdfMemoria del TFM2.15 MBAdobe PDFView/Open

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