Distance Metrics for Evaluating the Use of Exogenous Data in Load Forecasting-Reference-Cited by-同舟云学术

Distance Metrics for Evaluating the Use of Exogenous Data in Load Forecasting

Published:2022 Issue: Volume: Page:469-482
ISSN:1865-0929
Container-title:Information Processing and Management of Uncertainty in Knowledge-Based Systems
language:
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Author:

Christen Ramón^ORCID,Mazzola Luca^ORCID,Denzler Alexander,Portmann Edy^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08974-9_37

Reference17 articles.

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3. Chen, L., Özsu, M.T., Oria, V.: Robust and fast similarity search for moving object trajectories. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data - SIGMOD 2005, p. 491. ACM Press, Baltimore, Maryland (2005). https://doi.org/10.1145/1066157.1066213, http://portal.acm.org/citation.cfm?doid=1066157.1066213

4. Chen, Y., Nascimento, M., Ooi, B., Tung, A.: SpADe: on shape-based pattern detection in streaming time series. In: Proceedings - International Conference on Data Engineering, pp. 786–795, May 2007. https://doi.org/10.1109/ICDE.2007.367924

5. Christen, R., Mazzola, L., Denzler, A., Portmann, E.: Exogenous data for load forecasting: a review. In: Proceedings of the 12th International Joint Conference on Computational Intelligence. pp. 489–500. SCITEPRESS - Science and Technology Publications, Budapest, Hungary (2020). https://doi.org/10.5220/0010213204890500, https://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0010213204890500