Academic Journal

Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model

التفاصيل البيبلوغرافية
العنوان: Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model
المؤلفون: Sundeep Siddula, G. K. Prashanth, Praful Nandankar, Ram Subbiah, Saikh Mohammad Wabaidur, Essam A. Al-Ammar, M. H. Siddique, Subash Thanappan
المصدر: International Journal of Photoenergy, Vol 2022 (2022)
بيانات النشر: Wiley, 2022.
سنة النشر: 2022
المجموعة: LCC:Renewable energy sources
مصطلحات موضوعية: Renewable energy sources, TJ807-830
الوصف: In this paper, we develop an optimal placement of solar-wind energy systems using restricted Boltzmann machine (RBM). The RBM considers various factors to scale the process of optimal placement and enables proper sizing and placement for attaining increased electricity production from both wind and solar systems. The multiobjective criterion from both solar and wind energy farms simulated on MATLAB simulator shows an increased number of accuracies with reduced mean average error and computation time during training and testing. The results show that the RBM achieves improved rate of finding the optimal placement with a lesser cost and computation time of lesser than 2 ms than other methods.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-529X
Relation: https://doaj.org/toc/1687-529X
DOI: 10.1155/2022/2881603
URL الوصول: https://doaj.org/article/12f3771e8a3f426a88f7ef73b813d1f7
رقم الانضمام: edsdoj.12f3771e8a3f426a88f7ef73b813d1f7
قاعدة البيانات: Directory of Open Access Journals
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