Optimal sizing and energy management of a stand-alone photovoltaic/pumped storage hydropower/battery hybrid system using Genetic Algorithm for reducing cost and increasing reliability
- DOI
- 10.1177/0958305x221110529
- Published
- 2022-11-01
- Container
- Green Energy & Environment
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1177/0958305x221110529,
title = {Optimal sizing and energy management of a stand-alone photovoltaic/pumped storage hydropower/battery hybrid system using Genetic Algorithm for reducing cost and increasing reliability},
author = {Chaima Ghanjati and Slim Tnani},
year = {2022},
journal = {Green Energy \& Environment},
doi = {10.1177/0958305x221110529},
url = {https://doi.org/10.1177/0958305x221110529}
}RIS
TY - JOUR TI - Optimal sizing and energy management of a stand-alone photovoltaic/pumped storage hydropower/battery hybrid system using Genetic Algorithm for reducing cost and increasing reliability AU - Chaima Ghanjati AU - Slim Tnani PY - 2022 JO - Green Energy & Environment DO - 10.1177/0958305x221110529 UR - https://doi.org/10.1177/0958305x221110529 ER -
APA
Ghanjati, C., & Tnani, S. (2022). Optimal sizing and energy management of a stand-alone photovoltaic/pumped storage hydropower/battery hybrid system using Genetic Algorithm for reducing cost and increasing reliability. Green Energy & Environment. https://doi.org/10.1177/0958305x221110529
Source records
- hal · retrieved 2026-09-25T22:23:26.947Z