Power capacity profile estimation for building heating and cooling in demand-side management

Juan A. Gomez, Miguel F. Anjos

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

This paper presents a new methodology for the estimation of power capacity profiles for smart buildings. The capacity profile can be used within a demand-side management system in order to guide the building temperature operation. It provides a trade-off between the quality of service perceived by the end user and the requirements from the grid in a demand-response context. We use a data-fitting approach and a multiclass classifier to compute the required profile to run a set of electric heating and cooling units via an admission control module. Simulation results validate the performance of the proposed methodology under various conditions, and we compare our approach with neural networks in a real-world-based scenario.
Original languageEnglish
Pages (from-to)492-501
JournalApplied Energy
Volume191
Early online date9 Feb 2017
DOIs
Publication statusPublished - 1 Apr 2017

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