Neural network informed day-ahead scheduling of pumped hydro energy storage

Favaro, Pietro; Dolányi, Mihály; Vallée, François; Toubeau, Jean-François

doi:10.1016/j.energy.2023.129999

Energy

2024

DOI: 10.1016/j.energy.2023.129999

|View full text |Cite

Neural network informed day-ahead scheduling of pumped hydro energy storage

Pietro Favaro,

Mihály Dolányi,

François Vallée

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 6 publications

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

An experimental analysis on a Stirling-engine-driven micro power-generation system integrated with a flat-flame burner powered by dimethyl ether fuel mixed with ammonia

Chen,

Currao,

et al. 2025

Energy

View full text Add to dashboard Cite

An experimental analysis on a Stirling-engine-driven micro power-generation system integrated with a flat-flame burner powered by dimethyl ether fuel mixed with ammonia

Chen,

Currao,

et al. 2025

Energy

View full text Add to dashboard Cite

Multi-fidelity optimization for the day-ahead scheduling of Pumped Hydro Energy Storage

Favaro,

Gobert,

Toubeau

2024

Journal of Energy Storage

View full text Add to dashboard Cite

A nonlinear damage constitutive model applicable to the surrounding rock of compressed air energy storage caverns

Zhu,

Sun,

Shi

et al. 2025

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

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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.

Neural network informed day-ahead scheduling of pumped hydro energy storage

Cited by 6 publications

References 25 publications

An experimental analysis on a Stirling-engine-driven micro power-generation system integrated with a flat-flame burner powered by dimethyl ether fuel mixed with ammonia

An experimental analysis on a Stirling-engine-driven micro power-generation system integrated with a flat-flame burner powered by dimethyl ether fuel mixed with ammonia

Multi-fidelity optimization for the day-ahead scheduling of Pumped Hydro Energy Storage

A nonlinear damage constitutive model applicable to the surrounding rock of compressed air energy storage caverns

Contact Info

Product

Resources

About