Standard

Very-short term forecasting of photovoltaic plants generation based on meteorological data from open sources using machine learning. / Khalyasmaa, Alexandra; Eroshenko, Stanislav; Chung Tran, Duc.
Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020. ed. / S K Niranjan; B. P. Divakar; Sunilkumar S. Manvi; Vishwanath R. Hulipalled; Mallikarjun M. Kodabagi. Institute of Electrical and Electronics Engineers Inc., 2020. p. 564-568 9276765 (Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020).

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

Harvard

Khalyasmaa, A, Eroshenko, S & Chung Tran, D 2020, Very-short term forecasting of photovoltaic plants generation based on meteorological data from open sources using machine learning. in SK Niranjan, BP Divakar, SS Manvi, VR Hulipalled & MM Kodabagi (eds), Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020., 9276765, Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020, Institute of Electrical and Electronics Engineers Inc., pp. 564-568, 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020, Virtual, Bengaluru, India, 09/10/2020. https://doi.org/10.1109/ICSTCEE49637.2020.9276765

APA

Khalyasmaa, A., Eroshenko, S., & Chung Tran, D. (2020). Very-short term forecasting of photovoltaic plants generation based on meteorological data from open sources using machine learning. In S. K. Niranjan, B. P. Divakar, S. S. Manvi, V. R. Hulipalled, & M. M. Kodabagi (Eds.), Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020 (pp. 564-568). [9276765] (Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSTCEE49637.2020.9276765

Vancouver

Khalyasmaa A, Eroshenko S, Chung Tran D. Very-short term forecasting of photovoltaic plants generation based on meteorological data from open sources using machine learning. In Niranjan SK, Divakar BP, Manvi SS, Hulipalled VR, Kodabagi MM, editors, Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 564-568. 9276765. (Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020). doi: 10.1109/ICSTCEE49637.2020.9276765

Author

Khalyasmaa, Alexandra ; Eroshenko, Stanislav ; Chung Tran, Duc. / Very-short term forecasting of photovoltaic plants generation based on meteorological data from open sources using machine learning. Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020. editor / S K Niranjan ; B. P. Divakar ; Sunilkumar S. Manvi ; Vishwanath R. Hulipalled ; Mallikarjun M. Kodabagi. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 564-568 (Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020).

BibTeX

@inproceedings{13e74155c6fc4bd598d039e79bdfea4b,
title = "Very-short term forecasting of photovoltaic plants generation based on meteorological data from open sources using machine learning",
keywords = "Forecasting, Machine learning, Meteorological data, Photovoltaic power plant",
author = "Alexandra Khalyasmaa and Stanislav Eroshenko and {Chung Tran}, Duc",
year = "2020",
month = oct,
day = "9",
doi = "10.1109/ICSTCEE49637.2020.9276765",
language = "English",
series = "Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "564--568",
editor = "Niranjan, {S K} and Divakar, {B. P.} and Manvi, {Sunilkumar S.} and Hulipalled, {Vishwanath R.} and Kodabagi, {Mallikarjun M.}",
booktitle = "Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020",
address = "United States",
note = "2020 International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020 ; Conference date: 09-10-2020 Through 10-10-2020",

}

RIS

TY - GEN

T1 - Very-short term forecasting of photovoltaic plants generation based on meteorological data from open sources using machine learning

AU - Khalyasmaa, Alexandra

AU - Eroshenko, Stanislav

AU - Chung Tran, Duc

PY - 2020/10/9

Y1 - 2020/10/9

KW - Forecasting

KW - Machine learning

KW - Meteorological data

KW - Photovoltaic power plant

UR - http://www.scopus.com/inward/record.url?scp=85099458404&partnerID=8YFLogxK

U2 - 10.1109/ICSTCEE49637.2020.9276765

DO - 10.1109/ICSTCEE49637.2020.9276765

M3 - Conference contribution

AN - SCOPUS:85099458404

T3 - Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020

SP - 564

EP - 568

BT - Proceedings of the International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020

A2 - Niranjan, S K

A2 - Divakar, B. P.

A2 - Manvi, Sunilkumar S.

A2 - Hulipalled, Vishwanath R.

A2 - Kodabagi, Mallikarjun M.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2020

Y2 - 9 October 2020 through 10 October 2020

ER -

ID: 20504802