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Short-term load forecasting utilizing a combination model: a brief review


Citation

Ahmad, Faisul Arif and Liu, Junchen and Hashim, Fazirulhisyam and Samsudin, Khairulmizam (2024) Short-term load forecasting utilizing a combination model: a brief review. International Journal of Technology, 15 (1). pp. 121-129. ISSN 2086-9614; ESSN: 2087-2100

Abstract

To deliver electricity to customers safely and economically, power companies encounter numerous economic and technical challenges in their operations. Power flow analysis, planning, and control of power systems stand out among these issues. Over the last several years, one of the most developing study topics in this vital and demanding discipline has been electricity short-term load forecasting (STLF). Power system dispatching, emergency analysis, power flow analysis, planning, and maintenance all require it. This study emphasizes new research on long short-term memory (LSTM) algorithms related to particle swarm optimization (PSO) inside this area of short-term load forecasting. The paper presents an in-depth overview of hybrid networks that combine LSTM and PSO and have been effectively used for STLF. In the future, the integration of LSTM and PSO in the development of comprehensive prediction methods and techniques for multi-heterogeneous models is expected to offer significant opportunities. With an increased dataset, the utilization of advanced multi-models for comprehensive power load prediction is anticipated to achieve higher accuracy.


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Official URL or Download Paper: https://ijtech.eng.ui.ac.id/article/view/5543

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.14716/ijtech.v15i1.5543
Publisher: Faculty of Engineering, Universitas Indonesia
Keywords: Combined model; LSTM; Particle swarm optimization; STLF; Short-term load forecasting; Power systems; Energy efficiency; Forecast accuracy; Hybrid networks; Electricity demand; Optimization techniques
Depositing User: Mr. Mohamad Syahrul Nizam Md Ishak
Date Deposited: 11 May 2024 14:59
Last Modified: 11 May 2024 14:59
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.14716/ijtech.v15i1.5543
URI: http://psasir.upm.edu.my/id/eprint/106244
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