Deep Learning Models in Photovoltaic Power Forecasting: A Review-Reference-Cited by-同舟云学术

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Deep Learning Models in Photovoltaic Power Forecasting: A Review

Published:2024-06-03 Issue: Volume:59 Page:1-9
ISSN:
Container-title:2024 1st International Conference on Smart Energy Systems and Artificial Intelligence (SESAI)
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Author:

Coya Zahiir¹,Khoodaruth Abdel¹,Ramenah Harry²,Oree Vishwamitra³,Murdan Anshu Prakash³,Bessafi Miloud⁴

Affiliation:

1. University of Mauritius,Mechanical and Production Engineering Department,Reduit,Mauritius

2. LGIPM, Université de Lorraine,Metz,France

3. University of Mauritius,Department of Electrical and Electronic Engineering,Reduit,Mauritius

4. Université de la Réunion,ENERGY-Lab,Saint Denis,Réunion,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10599399/10599400/10599454.pdf?arnumber=10599454

Reference68 articles.

1. Mitigating methods of power fluctuation of photovoltaic (PV) sources - a review (in English) Renew Sustain Energy Rev;Shivashankar;Review,2016

2. Review of photovoltaic power forecasting

3. Forecasting of photovoltaic power generation and model optimization: a review (in English) Renew Sustain Energy Rev;Das;Review,2018

4. Spatio-Temporal Graph Deep Neural Network for Short-Term Wind Speed Forecasting

5. Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research trend

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