التفاصيل البيبلوغرافية
| العنوان: |
A multi-objective grey wolf optimizer for energy planning problem in smart home using renewable energy systems |
| المؤلفون: |
Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Feras Al-Obeidat, Osama Ahmad Alomari, Ammar Kamal Abasi, Mohammad Tubishat, Zenab Elgamal, Waleed Alomoush |
| المصدر: |
Sustainable Operations and Computers, Vol 5, Iss , Pp 88-101 (2024) |
| بيانات النشر: |
KeAi Communications Co. Ltd., 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Technology |
| مصطلحات موضوعية: |
Renewable Energy System, Optimization, Grey Wolf Optimizer, Energy Planning Problem, Multi-objective Optimization, Technology |
| الوصف: |
This paper presents the energy planning problem (EPP) as an optimization problem to find the optimal schedules to minimize energy consumption costs and demand and enhance users’ comfort levels. The grey wolf optimizer (GWO), One of the most powerful optimization methods, is adjusted and adapted to address EPP optimally and achieve its objectives efficiently. The GWO is adapted due to its high performance in addressing NP-complex hard problems like the EPP, where it contains efficient and dynamic parameters that enhance its exploration and exploitation capabilities, particularly for large search spaces. In addition, new energy and real-world resources based on solar renewable energy systems (RESs) are combined with the proposed GWO to enhance its performance and ensure the optimisation of EPP objectives. Furthermore, EPP is presented as a multi-objective planning problem to optimize all objectives simultaneously. To efficiently investigate the proposed method performance, the results obtained by the GWO with the RESs are compared in three stages: comparison with original methods without RESs, comparison with methods using RESs, and comparison with state-of-the-art. The obtained results proved the robust performance of the proposed method in handling EPP and optimizing its objectives. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2666-4127 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2666412724000059; https://doaj.org/toc/2666-4127 |
| DOI: |
10.1016/j.susoc.2024.04.001 |
| URL الوصول: |
https://doaj.org/article/61566f2eb3a34a4f9667cc3eba59cf9e |
| رقم الانضمام: |
edsdoj.61566f2eb3a34a4f9667cc3eba59cf9e |
| قاعدة البيانات: |
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