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Desarrollo de software de previsiones de consumo eléctrico

Previsiones de Consumo Eléctrico
Authors: Pacichana Bastidas, Carlos Eduardo;

Desarrollo de software de previsiones de consumo eléctrico

Abstract

Por todo esto este proyecto tratará dos puntos, el primero será intentar predecir de la manera más exacta posible el consumo eléctrico que tendrán nuestros clientes mediante una serie de modelos de predicción y segundo debido al enorme volumen de puntos de acceso a la red deberemos mediante la utilización de Machine Learning clasificar estos puntos para el mejor modelo que consideremos para cada uno ya resultaría inviable en tiempo de ejecución probar todos los modelos para cada punto de acceso.

Country
Spain
Keywords

Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Previsiones, :Informàtica::Enginyeria del software [Àrees temàtiques de la UPC], KNN, Electric power consumption, CUPS, Machine Learning, Energia elèctrica--Consum, Machine learning, Aprenentatge automàtic, SIPS, Electricidad, Serie Temporal, K-means, SARIMAX

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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