Collaborative optimal scheduling of shared energy storage station and building user groups considering demand response and conditional value-at-risk

Shen, Jinrui

doi:10.1016/j.epsr.2023.109769

Electric Power Systems Research

2023

DOI: 10.1016/j.epsr.2023.109769

|View full text |Cite

Collaborative optimal scheduling of shared energy storage station and building user groups considering demand response and conditional value-at-risk

Jinrui Shen

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Differentiated pricing for the retail electricity provider optimizing demand response to renewable energy fluctuations

Li,

Wang,

Fang

2024

Energy Economics

View full text Add to dashboard Cite

Differentiated pricing for the retail electricity provider optimizing demand response to renewable energy fluctuations

Li,

Wang,

Fang

2024

Energy Economics

View full text Add to dashboard Cite

A risk-averse logistics-energy coordination optimization strategy for port energy system considering demand response program

Zhao,

Ma,

Yang

et al. 2024

Electric Power Systems Research

View full text Add to dashboard Cite

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

Hu,

Song,

Tan

et al. 2024

Journal of Energy Storage

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Collaborative optimal scheduling of shared energy storage station and building user groups considering demand response and conditional value-at-risk

Cited by 4 publications

References 19 publications

Differentiated pricing for the retail electricity provider optimizing demand response to renewable energy fluctuations

Differentiated pricing for the retail electricity provider optimizing demand response to renewable energy fluctuations

A risk-averse logistics-energy coordination optimization strategy for port energy system considering demand response program

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

Contact Info

Product

Resources

About