A data-driven multi-energy economic scheduling method with experiential knowledge bases

Author:

Li Chuang,Wang Keyou,Han BeiORCID,Xu Jin,Zhou Jianqi,Yokoyama Ryuichi,Li Guojie

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Fluid Flow and Transfer Processes,Mechanical Engineering

Reference38 articles.

1. Flexibility improvement and stochastic multi-scenario hybrid optimization for an integrated energy system with high-proportion renewable energy;Rujing;Energy,2023

2. Wind-photovoltaic co-generation prediction and energy scheduling of low-carbon complex regional integrated energy system with hydrogen industry chain based on copula-MILP;Chong;Appl. Energy,2022

3. The role of hydrogen in low carbon energy futures: A review of existing perspectives;Hanley;Renew. Sustain. Energy Rev.,2018

4. Integrated modeling and assessment of the operational impact of power-to-gas (P2G) on electrical and gas transmission networks;Clegg;IEEE Trans. Sustainable Energy,2015

5. Hydrogen storage optimal scheduling for fuel supply and capacity–based demand response program under dynamic hydrogen pricing;El-Taweel;IEEE Trans. Smart Grid,2019

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