Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative study

Original language	English
Number of pages	6
Publication status	Published - 2018
Event	3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control - Faro, Portugal Duration: 06 Jun 2018 → 08 Jun 2018 Conference number: 3

Conference

Conference	3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control
Abbreviated title	CESCIT 2018
Country/Territory	Portugal
City	Faro
Period	06/06/2018 → 08/06/2018

UN SDGs

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

• 

Student theses

• Electric load forecasting with increased embedded renewable generation

  Foster, J. (Author), Liu, X. (Supervisor) & McLoone, S. (Supervisor), Dec 2020

  Student thesis: Doctoral Thesis › Doctor of Philosophy

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Foster, J., Liu, X., & McLoone, S. (2018). Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative study. Paper presented at 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Faro, Portugal.

Foster, Judith ; Liu, Xueqin ; McLoone, Sean. / Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative study. Paper presented at 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Faro, Portugal.6 p.

@conference{2eda0ccdf0964fd39c32f04fe7f5e0ac,

title = "Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative study",

author = "Judith Foster and Xueqin Liu and Sean McLoone",

year = "2018",

language = "English",

note = "3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, CESCIT 2018 ; Conference date: 06-06-2018 Through 08-06-2018",

}

Foster, J, Liu, X & McLoone, S 2018, 'Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative study', Paper presented at 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Faro, Portugal, 06/06/2018 - 08/06/2018.

Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative study. / Foster, Judith; Liu, Xueqin; McLoone, Sean.
2018. Paper presented at 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Faro, Portugal.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative study

AU - Foster, Judith

AU - Liu, Xueqin

AU - McLoone, Sean

N1 - Conference code: 3

PY - 2018

Y1 - 2018

M3 - Paper

T2 - 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control

Y2 - 6 June 2018 through 8 June 2018

ER -

Foster J, Liu X, McLoone S. Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative study. 2018. Paper presented at 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Faro, Portugal.