Transformer‐based time series prediction of the maximum power point for solar photovoltaic cells-Reference-Cited by-同舟云学术

Transformer‐based time series prediction of the maximum power point for solar photovoltaic cells

Published:2022-06-21 Issue:9 Volume:10 Page:3397-3410
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Science & Engineering

Author:

Agrawal Palaash¹^ORCID,Bansal Hari Om¹^ORCID,Gautam Aditya R.¹^ORCID,Mahela Om Prakash²,Khan Baseem³^ORCID

Affiliation:

1. Birla Institute of Technology and Science Pilani Rajasthan India

2. Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam Ltd. Jaipur Rajasthan India

3. Department of Electrical and Computer Engineering Hawassa University Hawassa Ethiopia

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.1226

Reference61 articles.

1. International Renewable Energy Agency. Future of solar photovoltaic: deployment investment technology grid integration and socio‐economic aspects. A Global Energy Transformation. 2019.

2. Planning and Installing Photovoltaic Systems

3. Environmental Impacts on the Performance of Solar Photovoltaic Systems

4. Urban haze and photovoltaics

5. Investigation of the impact of atmospheric pollutants on solar module energy efficiency

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