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Forecasting household electricity demand with complex event..:

, In: Proceedings of the Industrial Track of the 13th ACM/IFIP/USENIX International Middleware Conference,

Ziekow, Holger ; Doblander, Christoph ; Goebel, Christoph. - p. 1-6 , 2013

Link: https://dl.acm.org/doi/10.1145/2541596.2541598

RT 
T1 <cTitle>Proceedings of the Industrial Track of the 13th ACM/IFIP/USENIX International Middleware Conference</cTitle>: T1 <Title>Forecasting household electricity demand with complex event processing				: insights from a prototypical solution</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2541598&Exemplar=1&LAN=DE
				
A1 Ziekow, Holger
A1 Doblander, Christoph
A1 Goebel, Christoph
A1 Jacobsen, Hans-Arno
PB ACM
YR 2013
K1 complex event processing
K1 electricity demand forecasting
K1 forecasting
K1 machine learning
K1 smart grids
K1 Information systems
K1 Information systems applications
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Software and its engineering
K1 Software organization and properties
K1 Software functional properties
K1 Formal methods
K1 Software creation and management
K1 Software verification and validation
K1 Empirical software validation
K1 Extra-functional properties
K1 Software performance
K1 Social and professional topics
K1 Professional topics
K1 Management of computing and information systems
K1 Software management
K1 Software selection and adaptation
SP 1
OP 6
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2541596.2541598
DO https://dl.acm.org/doi/10.1145/2541596.2541598
SF ELIB - SuUB Bremen

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