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Towards a Data Driven Platform for Energy Efficiency Monitoring: Two Use Cases

Authors: Melendez, Joaquim; Colomer, Joan; Pous, Carles; Burgas, Llorenç; Massana, Joaquim;

Towards a Data Driven Platform for Energy Efficiency Monitoring: Two Use Cases

Abstract

The paper describes an ongoing work to define a framework to support monitoring procedures for distribution systems in smart cities. Specific use cases, involving data driven methods for energy monitoring, benchmarking and forecasting in urban scenarios are analysed. The objective is to identify services required in such framework to define the requirements of a reference architecture to support data-driven methods for energy efficiency monitoring and assessment. Use cases focus on multi-entity buildings monitoring and consumption forecasting

This work is being developed within the project, MESC- Platform for Monitoring and assessing the Efficiency of distribution systems in Smart Cities (Ref. DPI2013-47450-C2-1-R, 2014/16). Authors want to thank the organization of the Workshop SmarTABCD'15 (Workshop on Smart Technologies and Applications on Buildings, Cities and Districts, collocated with AIAI’15) to invite to present the MESC project for discussion in the context of Highly Innovative Building Control Tools Tackling the Energy Performance GAP (HIT2GAP)

Comunicació presentada a: 11th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015) (AIAI 2015), Bayonne, France, September 14-17, 2015

Country
Spain
Keywords

Short-term Forecasting, Energy Monitoring, Energia -- Consum, Energy consumption, Serices, Data Mining

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citations
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).
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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).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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