Initial Data Corruption Impact on Machine Learning Models' Performance in Energy Consumption Forecast

Standard

Initial Data Corruption Impact on Machine Learning Models' Performance in Energy Consumption Forecast. / Khalyasmaa, Alexandra ; Matrenin, Pavel.
Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 187-191 (Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Khalyasmaa, A & Matrenin, P 2021, Initial Data Corruption Impact on Machine Learning Models' Performance in Energy Consumption Forecast. in Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021. Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 187-191, 2021 Ural-Siberian Smart Energy Conference, USSEC 2021, Новосибирск, Russian Federation, 13/11/2021. https://doi.org/10.1109/USSEC53120.2021.9655724

APA

Khalyasmaa, A., & Matrenin, P. (2021). Initial Data Corruption Impact on Machine Learning Models' Performance in Energy Consumption Forecast. In Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021 (pp. 187-191). (Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USSEC53120.2021.9655724

Vancouver

Khalyasmaa A , Matrenin P. Initial Data Corruption Impact on Machine Learning Models' Performance in Energy Consumption Forecast. In Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 187-191. (Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021). doi: 10.1109/USSEC53120.2021.9655724

Author

Khalyasmaa, Alexandra ; Matrenin, Pavel. / Initial Data Corruption Impact on Machine Learning Models' Performance in Energy Consumption Forecast. Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 187-191 (Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021).

BibTeX

@inproceedings{d3c232ca18d446608ed605e1688b5a6d,

title = "Initial Data Corruption Impact on Machine Learning Models' Performance in Energy Consumption Forecast",

keywords = "data preprocessing, machine learning risks, short-Term load forecasting, software testing",

author = "Alexandra Khalyasmaa and Pavel Matrenin",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 Ural-Siberian Smart Energy Conference, USSEC 2021 ; Conference date: 13-11-2021 Through 15-11-2021",

year = "2021",

doi = "10.1109/USSEC53120.2021.9655724",

language = "English",

series = "Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "187--191",

booktitle = "Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021",

address = "United States",

}

RIS

TY - GEN

T1 - Initial Data Corruption Impact on Machine Learning Models' Performance in Energy Consumption Forecast

AU - Khalyasmaa, Alexandra

AU - Matrenin, Pavel

PY - 2021

Y1 - 2021

KW - data preprocessing

KW - machine learning risks

KW - short-Term load forecasting

KW - software testing

UR - http://www.scopus.com/inward/record.url?scp=85124503426&partnerID=8YFLogxK

U2 - 10.1109/USSEC53120.2021.9655724

DO - 10.1109/USSEC53120.2021.9655724

M3 - Conference contribution

AN - SCOPUS:85124503426

T3 - Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021

SP - 187

EP - 191

BT - Proceedings of the 2021 Ural-Siberian Smart Energy Conference, USSEC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 Ural-Siberian Smart Energy Conference, USSEC 2021

Y2 - 13 November 2021 through 15 November 2021

ER -

ID: 29631762