Building Energy Management System Modelling via State Fuzzy Cognitive Maps and Learning Algorithms
| Autor: | Vassiliki Mpelogianni, Peter P. Groumpos |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Building management system
0209 industrial biotechnology Computer science 020208 electrical & electronic engineering Control (management) Cognition 02 engineering and technology Industrial engineering Fuzzy cognitive map 020901 industrial engineering & automation Hebbian theory Control and Systems Engineering Management system 0202 electrical engineering electronic engineering information engineering State (computer science) Energy (signal processing) |
| Zdroj: | IFAC-PapersOnLine. 52:513-518 |
| ISSN: | 2405-8963 |
| Popis: | The last decades the decrease of the energy consumed by the building sector has become a crucial subject. This is the reason why the modelling and control of Building Energy Management Systems (BEMS) has become a very important scientifc feld. In such a system where the human factor and the uncertainties caused by its presence play a very important role the need for intelligent, cognitive modelling methodologies becomes obvious. The State Fuzzy Cognitive Maps Methodology combined with Nonlinear Hebbian Learning techniques are used to model the behaviour of a BEMS and improve its response. |
| Databáze: | OpenAIRE |
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