A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast

Dhivya Sampath Kumar; Winnie Teo; Ngiap Koh; Anurag Sharma; Wai Lok Woo

doi:10.1109/wiecon-ece52138.2020.9397982

A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast

Dhivya Sampath Kumar, Winnie Teo, Ngiap Koh, Anurag Sharma, Wai Lok Woo

Computer Information Sciences Department

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

4 Citations (Scopus)

Abstract

The stochastic nature of photovoltaic (PV) power generation can have significant impacts on the power grid stability and reliability. Hence, it is essential to have an accurate forecasting of the PV power generation. In this paper, a new machine learning (ML) framework is presented for short-term solar energy forecast based on prediction interval (PI) technique. Simulation results conducted show how PI is more reliable and accurate as compared to deterministic methods using evaluation metrics.

Original language	English
Title of host publication	2020 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	406-409
Number of pages	4
ISBN (Electronic)	9781665419178
ISBN (Print)	9781665430272
DOIs	https://doi.org/10.1109/wiecon-ece52138.2020.9397982
Publication status	Published - 26 Dec 2020
Event	6th IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering - Online, Bhubaneswar, India Duration: 26 Dec 2020 → 27 Dec 2020 https://wiecon-ece.org/

Publication series

Name	2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
Publisher	IEEE

Conference

Conference	6th IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering
Abbreviated title	IEEE WIECON-ECE 2020
Country/Territory	India
City	Bhubaneswar
Period	26/12/20 → 27/12/20
Internet address	https://wiecon-ece.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/wiecon-ece52138.2020.9397982

Cite this

Sampath Kumar, D., Teo, W., Koh, N., Sharma, A., & Woo, W. L. (2020). A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast. In 2020 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) (pp. 406-409). (2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/wiecon-ece52138.2020.9397982

Sampath Kumar, Dhivya ; Teo, Winnie ; Koh, Ngiap et al. / A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast. 2020 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE). Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc., 2020. pp. 406-409 (2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)).

@inproceedings{6ea687212d714c2fb092685dfbcd9582,

title = "A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast",

abstract = "The stochastic nature of photovoltaic (PV) power generation can have significant impacts on the power grid stability and reliability. Hence, it is essential to have an accurate forecasting of the PV power generation. In this paper, a new machine learning (ML) framework is presented for short-term solar energy forecast based on prediction interval (PI) technique. Simulation results conducted show how PI is more reliable and accurate as compared to deterministic methods using evaluation metrics.",

author = "{Sampath Kumar}, Dhivya and Winnie Teo and Ngiap Koh and Anurag Sharma and Woo, {Wai Lok}",

note = "Research funded by National Research Foundation; 6th IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering , IEEE WIECON-ECE 2020 ; Conference date: 26-12-2020 Through 27-12-2020",

year = "2020",

month = dec,

day = "26",

doi = "10.1109/wiecon-ece52138.2020.9397982",

language = "English",

isbn = "9781665430272",

series = "2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)",

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

pages = "406--409",

booktitle = "2020 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)",

address = "United States",

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}

Sampath Kumar, D, Teo, W, Koh, N, Sharma, A & Woo, WL 2020, A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast. in 2020 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE). 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, pp. 406-409, 6th IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering , Bhubaneswar, India, 26/12/20. https://doi.org/10.1109/wiecon-ece52138.2020.9397982

A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast. / Sampath Kumar, Dhivya; Teo, Winnie; Koh, Ngiap et al.
2020 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE). Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc., 2020. p. 406-409 (2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)).

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

TY - GEN

T1 - A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast

AU - Sampath Kumar, Dhivya

AU - Teo, Winnie

AU - Koh, Ngiap

AU - Sharma, Anurag

AU - Woo, Wai Lok

N1 - Research funded by National Research Foundation

PY - 2020/12/26

Y1 - 2020/12/26

N2 - The stochastic nature of photovoltaic (PV) power generation can have significant impacts on the power grid stability and reliability. Hence, it is essential to have an accurate forecasting of the PV power generation. In this paper, a new machine learning (ML) framework is presented for short-term solar energy forecast based on prediction interval (PI) technique. Simulation results conducted show how PI is more reliable and accurate as compared to deterministic methods using evaluation metrics.

AB - The stochastic nature of photovoltaic (PV) power generation can have significant impacts on the power grid stability and reliability. Hence, it is essential to have an accurate forecasting of the PV power generation. In this paper, a new machine learning (ML) framework is presented for short-term solar energy forecast based on prediction interval (PI) technique. Simulation results conducted show how PI is more reliable and accurate as compared to deterministic methods using evaluation metrics.

U2 - 10.1109/wiecon-ece52138.2020.9397982

DO - 10.1109/wiecon-ece52138.2020.9397982

M3 - Conference contribution

SN - 9781665430272

T3 - 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)

SP - 406

EP - 409

BT - 2020 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Piscataway, NJ

T2 - 6th IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering

Y2 - 26 December 2020 through 27 December 2020

ER -

Sampath Kumar D, Teo W, Koh N, Sharma A, Woo WL. A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast. In 2020 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE). Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc. 2020. p. 406-409. (2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)). doi: 10.1109/wiecon-ece52138.2020.9397982

A Machine Learning Framework for Prediction Interval based Technique for Short-Term Solar Energy Forecast

Abstract

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