Prediction of Power Generation of a Photovoltaic Power Plant Based on Neural Networks-Reference-Cited by-同舟云学术

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Prediction of Power Generation of a Photovoltaic Power Plant Based on Neural Networks

Published:2023 Issue: Volume:11 Page:20713-20724
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nelega Raluca¹,Greu Dan Ioan¹,Jecan Eusebiu¹,Rednic Vasile²,Zamfirescu Ciprian³,Puschita Emanuel¹^ORCID,Turcu Romulus Valeriu Flaviu²^ORCID

Affiliation:

1. Communications Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

2. National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania

3. Department of Telecommunications, Politehnica University of Bucharest, Bucharest, Romania

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10054046.pdf?arnumber=10054046

Reference33 articles.

1. Short-term forecasting of power production in a large-scale photovoltaic plant

2. Forecasting of Photovoltaic Solar Power Production Using LSTM Approach

3. Review of photovoltaic power forecasting

4. An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data

5. Forecasting with artificial neural networks:

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5. Prediction Method of Photovoltaic Active Power Based on Clustering and Variational Mode Decomposition- Gated Recurrent Unit;2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET);2024-05-17

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