Machine Learning Based Prediction of Solar Power Plant Performance Under the Impact of Natural Dust Accumulation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2283-3_12
Reference12 articles.
1. Lewis NS (2007) Toward cost-effective solar energy use. Science 315(5813):788–801
2. Singh GK (2013) Solar power generation by PV technology: a review. Energy 53:1–13
3. Ibrahim Reda AA (2004) Solar position algorithm for solar radiation applications. Sol Energy 76:577–589
4. Shapsough S, Dhaouadi R, Zualkernan I (2019) Using linear regression and back propagation neural networks to predict performance of soiled PV modules. In: The 9th international conference on sustainable energy information technology (SEIT), 19–21 Aug 2019
5. Yeom J-M, Han K-S (2010) Improved estimation of surface solar insolation using a neural network and MTSAT-1R data. Comput Geosci
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