article · 2023

Preprocessing Techniques of Solar Irradiation Data

Madderla Chiranjeevi, Skandha Karlamangal, Tukaram Moger, Debashisha Jena, Ayush Agarwal

Cited by 2Abstract and details only

Abstract

Solar energy being abundant, non-exhaustive, environmentally friendly attracts the people attention towards the alternate renewable energy. High-quality time series data is essential for producing an accurate estimate of solar power generation. In most cases, the plethora of information hidden in time series data cannot be accessed. Common issues with time series include outliers, noise, missing data, and a lack of order in the timestamps itself that impair forecasting accuracy. So, preprocessing of the input data is a mandate in order to achieve a precise and dependable forecast. This study proposes various pre-processing techniques to improve the performance of the forecasting accuracy. The different ways to handle the missing values and outliers detection by sliding window method and box plots are presented in this study. The solar irradiation data collected from solar center Alice Springs, Australia used for validation of the preprocessing results. The efficacy of the proposed method in detecting the missing values and outliers is effective from the obtained results.

Cite this paper

APA 7

Chiranjeevi, M., Karlamangal, S., Moger, T., Jena, D., & Agarwal, A. (2023). Preprocessing Techniques of Solar Irradiation Data. https://doi.org/10.1109/resem57584.2023.10236100

MLA 9

Chiranjeevi, Madderla, et al. “Preprocessing Techniques of Solar Irradiation Data.” 2023, pp. 1–6, https://doi.org/10.1109/resem57584.2023.10236100.

Chicago

Chiranjeevi, Madderla, Skandha Karlamangal, Tukaram Moger, Debashisha Jena, and Ayush Agarwal. 2023. “Preprocessing Techniques of Solar Irradiation Data.” https://doi.org/10.1109/resem57584.2023.10236100.

Harvard

Chiranjeevi, M. et al. (2023) ‘Preprocessing Techniques of Solar Irradiation Data’. Available at: https://doi.org/10.1109/resem57584.2023.10236100.

BibTeX

@article{chiranjeevi2023preprocessing,
  title = {{Preprocessing Techniques of Solar Irradiation Data}},
  author = {Chiranjeevi, Madderla and Karlamangal, Skandha and Moger, Tukaram and Jena, Debashisha and Agarwal, Ayush},
  pages = {1--6},
  year = {2023},
  doi = {10.1109/resem57584.2023.10236100}
}

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