Algorithms for the Management of Electrical Demand Using a Domotic System with Classification of Electrical Charges
| dc.contributor.author | Suaza Cano, Kevin Andrés | |
| dc.contributor.author | Castillo García, Javier Ferney | |
| dc.date.accessioned | 2020-10-23T15:37:03Z | |
| dc.date.available | 2020-10-23T15:37:03Z | |
| dc.date.issued | 2020-03-03 | |
| dc.description.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. | en_US |
| dc.identifier.isbn | 978-303042519-7 | |
| dc.identifier.issn | 1865-0929 | |
| dc.identifier.uri | http://repositorio.usc.edu.co/handle/20.500.12421/4506 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.subject | Demand management | en_US |
| dc.subject | Domotic system | en_US |
| dc.subject | Neural network | en_US |
| dc.title | Algorithms for the Management of Electrical Demand Using a Domotic System with Classification of Electrical Charges | en_US |
| dc.type | Article | en_US |
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