@inproceedings{32c68e10754445918503cc55fd7c19fb,
title = "Machine Learning for Solar Power Systems-A short tour",
abstract = "Machine learning (ML) is increasingly touching all fields in our life and making huge impact on their improvement. In this paper, we present an overview of several used methods in ML to highlight their interest and the future trends. The paper gives a short tour on their use in Power system applications. Then, we focus on their use in solar PV systems for both energy generation and MPPT implementation. We expect to bring an insight to the latest progress in machine learning methods within power and energy systems in general and solar PV systems in particular.",
keywords = "Deep Learning (DL), Machine Learning (ML), MPPT, Power systems, Reinforcement Learning (RL), solar PV",
author = "Badreddine Khelifi and Zdiri, \{Mohamed Ali\} and \{Ben Salem\}, Fatma",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 12th International Renewable Energy Congress, IREC 2021 ; Conference date: 26-10-2021 Through 28-10-2021",
year = "2021",
doi = "10.1109/IREC52758.2021.9624896",
language = "English",
series = "2021 12th International Renewable Energy Congress, IREC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 12th International Renewable Energy Congress, IREC 2021",
address = "United States",
}
