Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting

The smart metering infrastructure has changed how electricity is measured in both residential and industrial application. The large amount of data collected by smart meter per day provides a huge potential for analytics to support the operation of a smart grid, an example of which is energy demand f...

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Veröffentlicht in:	arXiv.org 2019-03
Hauptverfasser:	Nameer Al Khafaf, Jalili, Mahdi, Sokolowski, Peter
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer architecture Computer memory Computer Science - Learning Deep learning Demand side management Economic forecasting Electric power demand Electric power distribution Electricity consumption Electricity meters Energy management Energy transmission Industrial applications Infrastructure Peak load Residential energy Short term Smart grid Support vector machines Utilities
Online-Zugang:	Volltext
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