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Title: | Algorithms for the Management of Electrical Demand Using a Domotic System with Classification of Electrical Charges |
Authors: | Suaza Cano, Kevin Andrés Castillo García, Javier Ferney |
Keywords: | Demand management Domotic system Neural network |
Issue Date: | 3-Mar-2020 |
Publisher: | Springer |
Abstract: | Electricity demand management is the process of making appropriate use of energy resources. This process is carried out with the aim of achieving a reduction in electricity consumption. The electrical demand management algorithms are implemented in a domotic system that has the capacity to identify electrical loads using artificial neural networks. An analysis was carried out on the most important physical variables in the home, which have a direct relationship with energy consumption, and strategies were proposed on how to carry out a correct control over these, in search of generating energy savings without affecting comfort levels in the home. It was obtained, as a result that it is possible to generate an energy saving of 63% in comparison to a traditional house, this without affecting to a great extent the comfort of the user and allowing a great level of automation in the home. |
URI: | http://repository.usc.edu.co/handle/20.500.12421/4506 |
ISBN: | 978-303042519-7 |
ISSN: | 1865-0929 |
Appears in Collections: | Artículos Científicos |
Files in This Item:
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Algorithms for the Management of Electrical Demand.png | 68.46 kB | image/png | View/Open |
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