default author photo

Keiji Yano

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

35

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Novel Artificial Neural Network Model for Instantaneous Power Losses and Operational Efficiency Mapping of Mw-Scale Vanadium Redox Flow Battery for Improved Technoeconomic Analysis

Number of pages: 14 Posted: 07 May 2024
Richard Bryce, Aadil Latif, Adarsh Nagarajan, Dragoljub Kosanovic and Keiji Yano
National Renewable Energy Laboratory, National Renewable Energy Laboratory, National Renewable Energy Laboratory, University of Massachusetts Amherst and affiliation not provided to SSRN
Downloads 35 (1,249,711)

Abstract:

Loading...

Vanadium Redox Flow Batteries, Artificial Neural Network, Machine Learning, Energy storage, Energy Efficiency, Loss Modeling