Show simple item record

AuthorGao, Ruobin
AuthorDu, Liang
AuthorSuganthan, Ponnuthurai Nagaratnam
AuthorZhou, Qin
AuthorYuen, Kum Fai
Available date2023-02-12T08:33:25Z
Publication Date2022-11-15
Publication NameExpert Systems with Applications
Identifierhttp://dx.doi.org/10.1016/j.eswa.2022.117784
CitationGao, R., Du, L., Suganthan, P. N., Zhou, Q., & Yuen, K. F. (2022). Random vector functional link neural network based ensemble deep learning for short-term load forecasting. Expert Systems with Applications, 206, 117784.‏
ISSN09574174
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85133160892&origin=inward
URIhttp://hdl.handle.net/10576/39962
AbstractElectric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes a novel ensemble deep Random Vector Functional Link (edRVFL) network for electricity load forecasting. The weights of hidden layers are randomly initialized and fixed during the training process. The hidden layers are stacked to enforce deep representation learning. Then, the model generates the forecasts using the ensemble of the outputs of each layer. Moreover, we also propose to augment the random enhancement features by empirical wavelet transformation (EWT). The raw load data are decomposed by EWT in a walk-forward approach without introducing future data leakage problems in the decomposition process. Finally, all the sub-series generated by the EWT, including raw data, are fed into the edRVFL for forecasting purposes. The proposed model is evaluated on sixteen publicly available time series from the Australian Energy Market Operator of the year 2020. The simulation results demonstrate the proposed model's superior performance over eleven forecasting methods in two error metrics and statistical tests on electricity load forecasting tasks.
Languageen
PublisherElsevier Ltd
SubjectDeep learning
Forecasting
Machine learning
Random vector functional link network
TitleRandom vector functional link neural network based ensemble deep learning for short-term load forecasting
TypeArticle
Volume Number206
dc.accessType Open Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record