Probabilistic prediction-based multi-objective optimization approach for multi-energy virtual power plant-Reference-Cited by-同舟云学术

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Probabilistic prediction-based multi-objective optimization approach for multi-energy virtual power plant

Published:2024-10 Issue: Volume:161 Page:110200
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Li Gangqiang,Zhang Rongquan,Bu Siqi^ORCID,Zhang Junming,Gao Jinfeng

Funder

Huanghuai University

Publisher

Elsevier BV

Reference60 articles.

1. Research on collaborative operation optimization of multi-energy stations in regional integrated energy system considering joint demand response;Wang;Int J Electr Power Energy Syst,2024

2. A multi-stage ensemble model for power load forecasting based on decomposition, error factors, and multi-objective optimization algorithm;Fan;Int J Electr Power Energy Syst,2024

3. A multi-market nanogrid P2P energy and ancillary service trading paradigm: Mechanisms and implementations;Hu;Appl Energy,2021

4. Low carbon economic dispatching model for a virtual power plant connected to carbon capture system considering green certificates-carbon trading mechanism;Zhang;Sustain Energy Technol Assess,2023

5. Global virtual power plant market;Fortune business insights,2024

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