The application of artificial intelligence in the process of optimizing energy consumption in intelligent areas

Title:

The application of artificial intelligence in the process of optimizing energy consumption in intelligent areas

Creator:

Garlík, B.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:8e9f22d7-ca0d-4ca0-9ba9-80cdfcf9e580
uuid:8e9f22d7-ca0d-4ca0-9ba9-80cdfcf9e580
doi:10.14311/NNW.2017.27.023

Subject:

self organizing map, simulated annealing, cluster analysis, type daily diagrams, load prediction, unit commitment, intelligent building, renewable energy, and micro grid

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The text describes the optimization task of renewable energy sources distributed to electrical microgrid of fictitious intelligent area that consists of intelligent buildings. Firstly, to solve this task a general optimization heuristic method of simulated annealing will be described. Testing was performed on the analytical functions but those will be only covered marginally. Of the tests on the approximation functions the method of simulated annealing would be the most suitable algorithm for the optimization task. Furthermore, two experiments were introduced. The first lies in the application of cluster analysis on daily diagrams of electricity consumption in intelligent buildings. Because the modeled year history of hourly electricity consumption is represented by multidimensional data this data forms the training set during the adaptive dynamics submitted to a competence model of neural network by days. After the network adaptation process the Kohonen's map during the adaptive dynamics will be drawn, from which required clusters can be read. In the second experiment a sorting design of the resources for typical days of a week is performed in the computer program UniCon.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2017 Volume:27 | Number:4

Harvested from:

CDK

Metadata only:

false