Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network-Reference-Cited by-同舟云学术

Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network

Published:2021 Issue: Volume: Page:270-277
ISSN:0302-9743
Container-title:Computational Science – ICCS 2021
language:
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Author:

Cofta Piotr^ORCID,Marciniak Tomasz^ORCID,Pałczyński Krzysztof^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-77967-2_22

Reference13 articles.

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4. Grant, L.L., Venayagamoorthy, G.K.: Voltage prediction using a cellular network. In: IEEE PES General Meeting, pp. 1–7. IEEE (2010)

5. Liu, Z., Pei, X., Huang, G.: Real time prediction method of sensor output time series. In: 2009 9th International Conference on Electronic Measurement & Instruments, pp. 2–969. IEEE (2009)

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1. Comparison Between the Machine Learning and the Statistical Approach to the Forecasting of Voltage, Current, and Frequency;2023 IEEE 13th International Workshop on Applied Measurements for Power Systems (AMPS);2023-09-27