Targeting customers for an optimized energy procurement

Albrecht, Simon; Fritz, Manuel; Strüker, Jens; Ziekow, Holger

doi:10.1007/s00450-016-0303-x

Comput Sci Res Dev

2016

DOI: 10.1007/s00450-016-0303-x

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Targeting customers for an optimized energy procurement

Simon Albrecht

Manuel Fritz

Jens Strüker

et al.

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“…Furthermore, application scenarios extend to solutions for comfort [27], safety and security [18], and care of the elderly [23]. Utilities see huge potential in smart home technology to better balance electrical loads within their supply grids [5,25]. Keeping production and consumption equal at all times is critical for grid stability and the key responsibility of grid operators.…”

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confidence: 99%

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

Doblander¹,

Strohbach

Ziekow

et al. 2017

Comput Sci Res Dev

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This paper addresses the use of smart-home sensor streams for continuous prediction of energy loads of individual households which participate as an agent in local markets. We introduces a new device level energy consumption dataset recorded over three years wich includes high resolution energy measurements from electrical devices collected within a pilot program. Using data from that pilot, we analyze the applicability of various machine learning mechanisms for continuous load prediction. Specifically, we address short-term load prediction that is required for load balancing in electrical micro-grids. We report on the prediction performance and the computational requirements of a broad range of prediction mechanisms. Furthermore we present an architecture and experimenal evaluation when this prediction is applied in the stream.

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mentioning

confidence: 99%

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

Doblander¹,

Strohbach

Ziekow

et al. 2017

Comput Sci Res Dev

Self Cite

View full text Add to dashboard Cite

show abstract

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Targeting customers for an optimized energy procurement

Cited by 1 publication

References 17 publications

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

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

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