Short-term load forecasting: The similar shape functional time-series predictor
Date
2013Source
IEEE Transactions on Power SystemsVolume
28Issue
4Pages
3818-3825Google Scholar check
Keyword(s):
Metadata
Show full item recordAbstract
A novel functional time-series methodology for shortterm load forecasting is introduced. The prediction is performed by means of a weighted average of past daily load segments, the shape of which is similar to the expected shape of the load segment to be predicted. The past load segments are identified from the available history of the observed load segments by means of their closeness to a so-called reference load segment. The latter is selected in a manner that captures the expected qualitative and quantitative characteristics of the load segment to be predicted. As an illustration, the suggested functional time-series forecasting methodology is applied to historical daily load data in Cyprus. Its performance is compared with some recently proposed alternative methodologies for short-term load forecasting. © 2013 IEEE.
Collections
Cite as
Related items
Showing items related by title, author, creator and subject.
-
Book
Forecasting Cyprus GDP and its demand components: single equation models and forecast combinations
Papamichael, Christos; Pashourtidou, Nicoletta; Kourtellos, Andros (2014)
-
Conference Object
Evaluating the Weather Forecasting Models and the Impact to PV Generation Forecasting
Theocharides, Spyros; Koumis, Tasos; Makrides, George; Georghiou, George E. (2023)
-
Book
A forecasting exercise for output and inflation in Cyprus
Kontolemis, Z.; Savva, Christos S.; Tsiaklis, Andreas; Pashourtidou, Nicoletta (2009)