International Journal of Computational Intelligence Systems

Volume 13, Issue 1, 2020, Pages 875 - 892

Fuzzy Load Forecast with Optimized Parametric Adjustment Using Jaya Optimization Algorithm

Authors
Ho Pham Huy Anh1, 2, *, ORCID
1Faculty of Electrical-Electronics Engineering (FEEE), Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City
2Vietnam and Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam
Corresponding Author
Ho Pham Huy Anh
Received 23 September 2019, Accepted 9 June 2020, Available Online 29 June 2020.
DOI
10.2991/ijcis.d.200617.002How to use a DOI?
Keywords
Advanced fuzzy load forecasting model; Hybrid fuzzy-MJO load forecasting algorithm; Minimal total energy error; Minimal peak energy error; Modified Jaya optimization (MJO) algorithm
Abstract

This paper proposes an advanced fuzzy load forecast method optimized by modified Jaya optimization (MJO) algorithm. MATLAB® platform is used to implement the proposed hybrid Fuzzy-MJO load forecasting algorithm and to verify the outperforming features of a Jaya technique over a fuzzy load forecast model. The novel Fuzzy-MJO load forecasting systems uses the day-time and the daily power consumption to efficiently predict the forecast power consumption. The comparative load forecasting results between proposed Fuzzy-MJO with the latest other algorithms are adequately presented. The full week forecast results using proposed hybrid Fuzzy-MJO load forecasting algorithm demonstrates an outperforming superiority, through the various tested cases, regarding to the total and the peak power error in comparison with the fuzzy-based load forecast model.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
875 - 892
Publication Date
2020/06/29
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200617.002How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ho Pham Huy Anh
PY  - 2020
DA  - 2020/06/29
TI  - Fuzzy Load Forecast with Optimized Parametric Adjustment Using Jaya Optimization Algorithm
JO  - International Journal of Computational Intelligence Systems
SP  - 875
EP  - 892
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200617.002
DO  - 10.2991/ijcis.d.200617.002
ID  - Anh2020
ER  -