Optimizing integrated energy systems using a hybrid approach blending grey wolf optimization with local search heuristics

Author:

Hu Jintao,Song Zhenghuai,Tan Yong,Tan Mou

Funder

Zhongnan University of Economics and Law

Publisher

Elsevier BV

Reference25 articles.

1. Ahmed N. Abdalla, Muhammad Shahzad Nazir, Hai Tao, Suqun Cao, Rendong Ji, Mingxin Jiang, Liu Yao. Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview. Journal of Energy Storage, Volume 40, 2021, 102811.

2. Modified grey wolf optimizer based MPPT design and experimentally performance evaluations for wind energy systems. Engineering science and technology, an;Yazıcı;Int. J.,2023

3. Optimum design and techno-socio-economic analysis of a PV/biomass based hybrid energy system for a remote hilly area using discrete grey wolf optimization algorithm;Saha;Sustain Energy Technol Assess,2023

4. A rule-based energy management strategy for a low-temperature solar/wind-driven heating system optimized by the machine learning-assisted grey wolf approach;Behzadi;Energ. Conver. Manage.,2023

5. Enhanced energy output from a PV system under partial shaded conditions through grey wolf optimizer;Motahhir;Cleaner Engineering and Technology,2022

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