A novel approach for short-term electric load forecasting

Xiaoqin WU; Zhixi SHEN; Yongduan SONG

doi:10.1109/WCICA.2016.7578284

A novel approach for short-term electric load forecasting

Xiaoqin WU
, Zhixi SHEN
, Yongduan SONG

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

2 Citations (Scopus)

Abstract

Rapid and accurate load forecasting is vital for renewable yet highly stochastic power (such as wind and solar power) to be massively utilized in practice. The model-based forecasting algorithms are derived from the specific load models. This paper proposes a new approach for load forecasting in power systems by using trajectory tracking stability theory. And based upon Lyapunov stability theory, the the proposed method is essentially model independent and can ensure the prediction error convergence.

Original language	English
Title of host publication	Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1999-2002
Number of pages	4
ISBN (Electronic)	9781467384148
DOIs	https://doi.org/10.1109/WCICA.2016.7578284
Publication status	Published - Sept 2016
Externally published	Yes

Funding

This work was supported in part by the Major State Basic Research Development Program 973 (No. 2012CB215202).

UN SDGs

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

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10.1109/WCICA.2016.7578284

Cite this

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abstract = "Rapid and accurate load forecasting is vital for renewable yet highly stochastic power (such as wind and solar power) to be massively utilized in practice. The model-based forecasting algorithms are derived from the specific load models. This paper proposes a new approach for load forecasting in power systems by using trajectory tracking stability theory. And based upon Lyapunov stability theory, the the proposed method is essentially model independent and can ensure the prediction error convergence.",

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A novel approach for short-term electric load forecasting. / WU, Xiaoqin; SHEN, Zhixi; SONG, Yongduan.
Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1999-2002.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AU - SONG, Yongduan

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N2 - Rapid and accurate load forecasting is vital for renewable yet highly stochastic power (such as wind and solar power) to be massively utilized in practice. The model-based forecasting algorithms are derived from the specific load models. This paper proposes a new approach for load forecasting in power systems by using trajectory tracking stability theory. And based upon Lyapunov stability theory, the the proposed method is essentially model independent and can ensure the prediction error convergence.

AB - Rapid and accurate load forecasting is vital for renewable yet highly stochastic power (such as wind and solar power) to be massively utilized in practice. The model-based forecasting algorithms are derived from the specific load models. This paper proposes a new approach for load forecasting in power systems by using trajectory tracking stability theory. And based upon Lyapunov stability theory, the the proposed method is essentially model independent and can ensure the prediction error convergence.

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BT - Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

A novel approach for short-term electric load forecasting

Abstract

Funding

UN SDGs

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