International Journal of Scientific and Research Publications

About Us
Editorial Board

Online Publication

Review Process
Publication Ethics

Call For Papers

Call for Research Paper


Online Submission
Paper Submission Guidelines
Online Publication Charge
Print Publication Charge
How to publish research paper
Publication Certificate
Research Catalogue


Join Reviewer Panel
Reviewer Guidelines

IJSRP Publications

Print Journal


IJSRP Paper Format

Contact Us

Feedback Form
Contact Us
Site Map

IJSRP, Volume 8, Issue 11, November 2018 Edition [ISSN 2250-3153]

      Daniel Eliote Mbanze, Li Wenwu, Zhang Xueying

Abstract: Due to the great advantage in regulating the peak level in wet season and compensating the storage deficit in dry season, the hybrid pumped storage reservoir gets more attention from researchers in the scientific world. In this paper, the mid-long term stochastic optimization model for hybrid pumped storage reservoir is established to obtain the maximum energy generation based on Reinforcement Learning Algorithm. The case study simulates the designed model and decide the operational policies to one hybrid pumped storage reservoir.

[Reference this Paper]   [BACK]

Ooops! It appears you don't have a PDF plugin for this barrPostingser. you can click here to download the PDF file.

Reference this Research Paper (copy & paste below code):

Daniel Eliote Mbanze, Li Wenwu, Zhang Xueying (2018); Medium and Long-Term Stochastic Optimization of Hybrid Pumped Storage Reservoir via Reinforcement Learning Method; International Journal of Scientific and Research Publications (IJSRP) 8(11) (ISSN: 2250-3153), DOI:



About Us
Editorial Board
Call for Paper

Call for Research Paper
Paper Status
IJSRP Paper Format
Join Us

Download e-journal
Join Forum
Invite Friends
Get Social with Us!

Copyright © 2011-2021, IJSRP Inc., All rights reserved.