Please use this identifier to cite or link to this item:
http://repositorio.inesctec.pt/handle/123456789/4617
Title: | Hierarchical time series forecast in electrical grids |
Authors: | Vânia Gomes Almeida Rita Paula Ribeiro João Gama |
Issue Date: | 2016 |
Abstract: | Hierarchical time series is a first order of importance topic. Effectively, there are several applications where time series can be naturally disaggregated in a hierarchical structure using attributes such as geographical location, product type, etc. Power networks face interesting problems related to its transition to computer-aided grids. Data can be naturally disaggregated in a hierarchical structure, and there is the possibility to look for both single and aggregated points along the grid. Along this work, we applied different hierarchical forecasting methods to them. Three different approaches are compared, two common approaches, bottom-up approach, top-down approach and another one based on the hierarchical structure of data, the optimal regression combination. The evaluation considers short-term forecasting (24-h ahead). Additionally,we discussed the importance associated to the correlation degree among series to improve forecasting accuracy. Our results demonstrated that the hierarchical approach outperforms bottom-up approach at intermediate/high levels. At lower levels, it presents a superior performance in less homogeneous substations, i. e. for the substations linked to different type of customers. Additionally, its performance is comparable to the top-down approach at top levels. This approach revealed to be an interesting tool for hierarchical data analysis. It allows to achieve a good performance at top levels as the top-down approach and at same time it allows to capture series dynamics at bottom levels as the bottom-up. © Springer Science+Business Media Singapore 2016. |
URI: | http://repositorio.inesctec.pt/handle/123456789/4617 http://dx.doi.org/10.1007/978-981-10-0557-2_95 |
metadata.dc.type: | conferenceObject Publication |
Appears in Collections: | LIAAD - Articles in International Conferences |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
P-00K-7EY.pdf Restricted Access | 443.95 kB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.