Load Forecasting based on Deep Long Short-term Memory with Consideration of Costing Correlated Factor

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/22762

Title:	Load Forecasting based on Deep Long Short-term Memory with Consideration of Costing Correlated Factor
Authors:	Huang, B Wu, D Lai, CS Cun, X Yuan, H Xu, F Lai, LL Tsang, KF
Keywords:	recurrent neural network;power market;load forecast;smart grid;machine learning;demand response;market deregulation
Issue Date:	27-Sep-2018
Publisher:	IEEE
Citation:	Huang, B., Wu, D., Lai, C.S., Cun, X., Yuan, H., Xu, F., Lai, L.L. and Tsang, K.F. (2018) 'Load Forecasting based on Deep Long Short-term Memory with Consideration of Costing Correlated Factor,' Proceedings of the 16th International Conference on Industrial Informatics (INDIN 2018), Porto, Portugal, 18-20 July, pp. 496 - 501. doi: 10.1109/INDIN.2018.8472040.
URI:	https://bura.brunel.ac.uk/handle/2438/22762
DOI:	https://doi.org/10.1109/INDIN.2018.8472040
ISBN:	978-1-5386-4829-2
ISSN:	1935-4576
Appears in Collections:	Dept of Electronic and Electrical Engineering Research Papers

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