Uncertainty energy planning of net-zero energy communities with peer-to-peer energy trading and green vehicle storage considering climate changes by 2050 with machine learning methods-Reference-Cited by-同舟云学术

Uncertainty energy planning of net-zero energy communities with peer-to-peer energy trading and green vehicle storage considering climate changes by 2050 with machine learning methods

Published:2022-09 Issue: Volume:321 Page:119394
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Liu Jia,Zhou Yuekuan,Yang Hongxing,Wu Huijun

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference48 articles.

1. World Meteorological Organization. State of the Global Climate 2020. 2021.

2. City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China;Yan;Nat Energy,2019

3. International Energy Agency. Net Zero by 2050: A roadmap for the global energy sector. 2021.

4. Zero energy potential of photovoltaic direct-driven air conditioners with considering the load flexibility of air conditioners;Li;Appl Energy.,2021

5. REN21. Renewables 2021 Global Status Report. 2021.

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting the performance of a heat sink utilized with an energy storage unit using machine learning approach;Journal of Energy Storage;2024-04

2. A local electricity-hydrogen market model for industrial parks;Applied Energy;2024-04

3. Lifelong learning with deep conditional generative replay for dynamic and adaptive modeling towards net zero emissions target in building energy system;Applied Energy;2024-01

4. Application of machine learning in evaluating and optimizing the hydrogen production performance of a solar-based electrolyzer system;Renewable Energy;2024-01

5. Optimization assessment and performance analysis of an ingenious hybrid parabolic trough collector: A machine learning approach;Applied Energy;2024-01