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Cited by 22Solar Radiation and PhotovoltaicsPhotovoltaic System Optimization TechniquesEnergy Load and Power Forecasting

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Evaluation of Missing Data Imputation Methods for an Enhanced Distributed PV Generation Prediction

Sundararajan, Aditya, Sarwat, Arif I.·2020·Advances in Intelligent Systems and Computing
DOI 10.1007/978-3-030-32520-6_43
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Citations

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Research works printed but not linked: 48

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  3. Sundararajan, A., Khan, T., Moghadasi, A., Sarwat, A.I.: A survey on synchrophasor data quality and cybersecurity challenges, and evaluation of their interdependencies. J. Mod. Power Sys. Clean Energy, 1–19 (2018) · DOI
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  8. Genes, C., Esnaola, I., Perlaza, S.M., Ochoa, L.F., Coca, D.: Robust recovery of missing data in electricity distribution systems. IEEE Trans. Smart Grid, 1 (2018) · DOI
  9. Olowu, T.O., Jafari, M., Sarwat, A.I.: A multi-objective optimization technique for Volt-Var control with high PV penetration using genetic algorithm. In: 2018 North American Power Symposium (NAPS), pp. 1–6 (2018) · DOI
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  11. Khalid, A., Sundararajan, A., Sarwat, A.I.: A multi-step predictive model to estimate Li-Ion state of charge for higher C-rates. In: 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) (2019) · DOI
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  14. Sundararajan, A., Sarwat, A.I., Pons, A.: A survey on modality characteristics, performance evaluation metrics, and security for traditional and wearable biometric systems. ACM Comput. Surv. 52(2), 1–35 (2019) · DOI
  15. Wei, L., Sundararajan, A., Sarwat, A.I., Biswas, S., Ibrahim, E.: A distributed intelligent framework for electricity theft detection using Benford’s law and stackelberg game. In: Resilience Week. pp. 5–11 (2017) · DOI · Paper page
  16. Zhang, Y., Huang, T., Bompard, E.F.: Big data analytics in smart grids: a review. Energy Inf. 1(1), 8 (2018). https://doi.org/10.1186/s42162-018-0007-5 · DOI
  17. Olowu, T.O., Sundararajan, A., Moghaddami, M., Sarwat, A.I.: Future challenges and mitigation methods for high photovoltaic penetration: a survey. Electr. Power Syst. Res. (2018) · DOI · Paper page
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  26. Anzalchi, A., Sundararajan, A., Moghadasi, A., Sarwat A. power quality and voltage profile analyses of high penetration grid-tied photovoltaics: a case study. In: 2017 IEEE Industry Applications Society Annual Meeting, pp. 1–8 (2017) · DOI
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Metadata

Authors
Sundararajan, A., & Sarwat, A. I.
Affiliations
Florida International University (US)
Corresponding author
Sarwat, Arif I.
ORCID
Venue
Advances in Intelligent Systems and Computing
Publisher
Springer International Publishing
Published
2019-10-13
Pages
590-609
ISSN
  • 2194-5357 (ISSN-L)
  • 2194-5365
DOI
10.1007/978-3-030-32520-6_43
OpenAlex
W2979735237
Cited by
22
References
4
Citations by year
2025: 3 · 2024: 3 · 2023: 2 · 2022: 5 · 2021: 5 · 2020: 1 · 2019: 3
FWCI
1.34
Type
conference paper
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
Advances in intelligent systems and computing (publishedVersion)
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Solar Radiation and Photovoltaics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic System Optimization Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Load and Power Forecasting
Keywords
missing data imputation, distributed photovoltaic generation, missing data mechanisms, k-nearest neighbors imputation, multiple imputation, expectation-maximization algorithm, irradiance, module temperature, ambient temperature, multilayer perceptron, grid-connected photovoltaic systems, distribution planning

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