• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

An Efficient Artificial Intelligence Hybrid Approach for Energy Management in Intelligent Buildings

Vol. 13, No. 12, December 31, 2019
10.3837/tiis.2019.12.007, Download Paper (Free):

Abstract

Many artificial intelligence (AI) techniques have been embedded into various engineering technologies to assist them in achieving different goals. The integration of modern technologies with energy consumption management system and occupant’s comfort inside buildings results in the introduction of intelligent building concept. The major aim of this integration is to manage the energy consumption effectively and keeping the occupant satisfied with the internal environment of the building. The last few couple of years have seen many applications of AI techniques for optimizing the energy consumption with maximizing the user comfort in smart buildings but still there is much room for improvement in this area. In this paper, a hybrid of two AI algorithms called firefly algorithm (FA) and genetic algorithm (GA) has been used for user comfort maximization with minimum energy consumption inside smart building. A complete user friendly system with data from various sensors, user, processes, power control system and different actuators is developed in this work for reducing power consumption and increase the user comfort. The inputs of optimization algorithms are illumination, temperature and air quality sensors’ data and the user set parameters whereas the outputs of the optimization algorithms are optimized parameters. These optimized parameters are the inputs of different fuzzy controllers which change the status of different actuators according to user satisfaction.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
F. Wahid, L. H. Ismail, R. Ghazali, M. Aamir, "An Efficient Artificial Intelligence Hybrid Approach for Energy Management in Intelligent Buildings," KSII Transactions on Internet and Information Systems, vol. 13, no. 12, pp. 5904-5927, 2019. DOI: 10.3837/tiis.2019.12.007.

[ACM Style]
Fazli Wahid, Lokman Hakim Ismail, Rozaida Ghazali, and Muhammad Aamir. 2019. An Efficient Artificial Intelligence Hybrid Approach for Energy Management in Intelligent Buildings. KSII Transactions on Internet and Information Systems, 13, 12, (2019), 5904-5927. DOI: 10.3837/tiis.2019.12.007.

[BibTeX Style]
@article{tiis:23087, title="An Efficient Artificial Intelligence Hybrid Approach for Energy Management in Intelligent Buildings", author="Fazli Wahid and Lokman Hakim Ismail and Rozaida Ghazali and Muhammad Aamir and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.12.007}, volume={13}, number={12}, year="2019", month={December}, pages={5904-5927}}