A Comparative Analysis of Artificial Neural Network Algorithms to Enhance the Power Quality of Photovoltaic Distributed Generation System Based on Metrological Parameters-Reference-Cited by-同舟云学术

A Comparative Analysis of Artificial Neural Network Algorithms to Enhance the Power Quality of Photovoltaic Distributed Generation System Based on Metrological Parameters

Published:2023-05-12 Issue:3 Volume:38 Page:607-618
ISSN:0970-3950
Container-title:MAPAN
language:en
Short-container-title:MAPAN

Author:

Singh Shubham Kumar,Agarwal Anshul^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Physics and Astronomy (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s12647-023-00649-7.pdf

Reference48 articles.

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4. G.M. Yagli, D. Yang and D. Srinivasan, Reconciling solar forecasts: probabilistic forecasting with homoscedastic Gaussian errors on a geographical hierarchy. Sol. Energy, 210 (2020) 59–67.

5. G.M. Yagli, D. Yang and D. Srinivasan, Automatic hourly solar forecasting using machine learning models. Renew. Sustain. Energy Rev., 105 (2019) 487–498.

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