Hybrid genetic-annealing algorithm for intelligent power consumption of a large building
by Yanping Li; Boying Shi; Tao Wang; Linyan Wu; Qi Wang
International Journal of Innovative Computing and Applications (IJICA), Vol. 9, No. 2, 2018

Abstract: At present, the electrical equipment in buildings is constantly increasing, and correspondingly, the energy consumption is also greatly improved. Therefore, scientific and intelligent power consumption is particularly important. In this paper, the main factors that affect the room environment are modelled, such as room temperature, and light intensity. At the same time, genetic annealing algorithm is introduced to solve the multi-objective optimisation of the parameters of the electrical equipment, find the best strategy for intelligent power system. Finally, the simulation is carried out on the MATLAB platform, and the simulation results show that it has good energy saving effect of architectural smart power system.

Online publication date: Wed, 20-Jun-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovative Computing and Applications (IJICA):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com