Forecasting next-day electricity demand and prices based on functional models
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Energy,Economics and Econometrics,Modelling and Simulation
Link
http://link.springer.com/content/pdf/10.1007/s12667-019-00356-w.pdf
Reference79 articles.
1. Andersson, J., Lillestøl, J.: Modeling and forecasting electricity consumption by functional data analysis. J. Energy Mark. 3(1), 3–15 (2010)
2. Aneiros-Pérez, G., Cao, R., Vilar-Fernández, J.M.: Functional methods for time series prediction: a nonparametric approach. J. Forecast. 30(4), 377–392 (2011)
3. Bernardi, M., Petrella, L.: Multiple seasonal cycles forecasting model: the Italian electricity demand. Stat. Methods Appl. 24, 1–25 (2015)
4. Bianco, V., Manca, O., Nardini, S.: Electricity consumption forecasting in Italy using linear regression models. Energy 34(9), 1413–1421 (2009)
5. Bordignon, S., Bunn, D.W., Lisi, F., Nan, F.: Combining day-ahead forecasts for British electricity prices. Energy Econ. 35, 88–103 (2013)
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