Combining agent-based residential demand modeling with design optimization for integrated energy systems planning and operation

Author:

Zhang Zhihui,Jing Rui,Lin Jian,Wang Xiaonan,van Dam Koen H.,Wang Meng,Meng Chao,Xie Shan,Zhao Yingru

Funder

National Natural Science Foundation of China

Science and Technology Planning Projects of Fujian Province

Publisher

Elsevier BV

Subject

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

Reference49 articles.

1. International Energy Agency. World Energy Outlook 2018; 2018. https://webstore.iea.org/world-energy-outlook-2018.

2. International Energy Agency. 2018 Global Status Report: Towards a zero-emission, efficient and resilient buildings and construction sector, 2018. https://webstore.iea.org/2018-global-status-report.

3. U.S. Energy Information Administration. International Energy Outlook 2019; 2019. https://www.eia.gov/outlooks/ieo/.

4. Comparative study of posteriori decision-making methods when designing building integrated energy systems with multi-objectives;Jing;Energy Build,2019

5. A review on time series forecasting techniques for building energy consumption;Deb;Renew Sustain Energy Rev,2017

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