Poster Abstract: Real-time load prediction with high velocity smart home data stream

Christoph Doblander; Martin Strohbach; Holger Ziekow; Hans Arno Jacobsen

doi:10.1007/s00450-017-0364-5

Poster Abstract: Real-time load prediction with high velocity smart home data stream

Christoph Doblander, Martin Strohbach, Holger Ziekow, Hans Arno Jacobsen

Informatics 13 - Chair of Decentralized Information Systems and Data Management

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This poster addresses the use of smart home data to continuously predict the aggregated energy consumption of individual households. We introduce a device level energy consumption dataset recorded over 3 years wich includes high resolution energy measurements from electrical devices collected within a pilot program. Using data from that pilot, we analyze the performance of various machine learning mechanisms for continuous short-term load prediction.

Original language	English
Pages (from-to)	233-234
Number of pages	2
Journal	Computer Science - Research and Development
Volume	33
Issue number	1-2
DOIs	https://doi.org/10.1007/s00450-017-0364-5
State	Published - 1 Feb 2018

Keywords

Electrical load prediction
Machine learning

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s00450-017-0364-5

Cite this

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title = "Poster Abstract: Real-time load prediction with high velocity smart home data stream",

abstract = "This poster addresses the use of smart home data to continuously predict the aggregated energy consumption of individual households. We introduce a device level energy consumption dataset recorded over 3 years wich includes high resolution energy measurements from electrical devices collected within a pilot program. Using data from that pilot, we analyze the performance of various machine learning mechanisms for continuous short-term load prediction.",

keywords = "Electrical load prediction, Machine learning",

author = "Christoph Doblander and Martin Strohbach and Holger Ziekow and Jacobsen, {Hans Arno}",

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AU - Strohbach, Martin

AU - Ziekow, Holger

AU - Jacobsen, Hans Arno

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KW - Machine learning

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Poster Abstract: Real-time load prediction with high velocity smart home data stream

Abstract

Keywords

UN SDGs

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