Bi-level multi-objective optimization of design and subsidies for standalone hybrid renewable energy systems: A novel approach based on artificial neural network-Reference-Cited by-同舟云学术

Bi-level multi-objective optimization of design and subsidies for standalone hybrid renewable energy systems: A novel approach based on artificial neural network

Published:2021-09 Issue: Volume:41 Page:102744
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Luo Xi,Liu Yanfeng,Liu Xiaojun

Funder

National Natural Science Foundation of China

Key Laboratory of Green Building in West China

National Key Research and Development Program of China

ShanXi Science and Technology Department

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference67 articles.

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4. A review on recent size optimization methodologies for standalone solar and wind hybrid renewable energy system;Al-falahi;Energy Convers. Manag.,2017

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