Machine Learning Based Short Term Load Estimation in Commercial Buildings

Mustafa Yasin Erten; Nihat İnanç

doi:10.47897/bilmes.1033438

EN TR

Machine Learning Based Short Term Load Estimation in Commercial Buildings

Abstract

Nowadays, there are many problems with the electricity system, such as increasing consumption, short-time overload during the intra-day, environmental problems caused by fossil fuel, and foreign-source dependency. Therefore, it is necessary to meet these increasing energy needs, minimize environmental impacts, and develop cost optimization solutions. In order to meet these requirements, it is necessary for the network to have a more dynamic structure and to have real-time monitoring and control systems. Furthermore, to develop the aforementioned system, it is necessary to estimate the load of the users in the system. Therefore, the developed artificial neural network-based load estimation algorithm is capable of high accuracy load estimates, and high precision data were obtained for use in the demand side management system

Keywords

Short term load prediction, Machine Learning, Artificial Neural Network, Demand Side Management

References

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Details

Primary Language

English

Subjects

Electrical Engineering

Journal Section

Research Article

Authors

Mustafa Yasin Erten
0000-0002-5140-1213
Türkiye

Nihat İnanç
0000-0003-2989-6632
Türkiye

Publication Date

December 31, 2021

Submission Date

October 21, 2021

Acceptance Date

December 15, 2021

Published in Issue

Year 2021 Volume: 5 Number: 2

DOI

https://doi.org/10.47897/bilmes.1033438

IZ

https://izlik.org/JA47ZH87ET

APA

Erten, M. Y., & İnanç, N. (2021). Machine Learning Based Short Term Load Estimation in Commercial Buildings. International Scientific and Vocational Studies Journal, 5(2), 171-181. https://doi.org/10.47897/bilmes.1033438

AMA

1.Erten MY, İnanç N. Machine Learning Based Short Term Load Estimation in Commercial Buildings. ISVOS. 2021;5(2):171-181. doi:10.47897/bilmes.1033438

Chicago

Erten, Mustafa Yasin, and Nihat İnanç. 2021. “Machine Learning Based Short Term Load Estimation in Commercial Buildings”. International Scientific and Vocational Studies Journal 5 (2): 171-81. https://doi.org/10.47897/bilmes.1033438.

EndNote

Erten MY, İnanç N (December 1, 2021) Machine Learning Based Short Term Load Estimation in Commercial Buildings. International Scientific and Vocational Studies Journal 5 2 171–181.

IEEE

[1]M. Y. Erten and N. İnanç, “Machine Learning Based Short Term Load Estimation in Commercial Buildings”, ISVOS, vol. 5, no. 2, pp. 171–181, Dec. 2021, doi: 10.47897/bilmes.1033438.

ISNAD

Erten, Mustafa Yasin - İnanç, Nihat. “Machine Learning Based Short Term Load Estimation in Commercial Buildings”. International Scientific and Vocational Studies Journal 5/2 (December 1, 2021): 171-181. https://doi.org/10.47897/bilmes.1033438.

JAMA

1.Erten MY, İnanç N. Machine Learning Based Short Term Load Estimation in Commercial Buildings. ISVOS. 2021;5:171–181.

MLA

Erten, Mustafa Yasin, and Nihat İnanç. “Machine Learning Based Short Term Load Estimation in Commercial Buildings”. International Scientific and Vocational Studies Journal, vol. 5, no. 2, Dec. 2021, pp. 171-8, doi:10.47897/bilmes.1033438.

Vancouver

1.Mustafa Yasin Erten, Nihat İnanç. Machine Learning Based Short Term Load Estimation in Commercial Buildings. ISVOS. 2021 Dec. 1;5(2):171-8. doi:10.47897/bilmes.1033438

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