Density forecasting for long-term peak electricity demand
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References listed on IDEAS
- Ramanathan, Ramu & Engle, Robert & Granger, Clive W. J. & Vahid-Araghi, Farshid & Brace, Casey, 1997. "Shorte-run forecasts of electricity loads and peaks," International Journal of Forecasting, Elsevier, vol. 13(2), pages 161-174, June.
- Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506.
- Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Hong, Tao & Pinson, Pierre & Fan, Shu, 2014. "Global Energy Forecasting Competition 2012," International Journal of Forecasting, Elsevier, vol. 30(2), pages 357-363.
- Goia, Aldo & May, Caterina & Fusai, Gianluca, 2010. "Functional clustering and linear regression for peak load forecasting," International Journal of Forecasting, Elsevier, vol. 26(4), pages 700-711, October.
- Luis Hernández & Carlos Baladrón & Javier M. Aguiar & Lorena Calavia & Belén Carro & Antonio Sánchez-Esguevillas & Javier Sanjuán & Álvaro González & Jaime Lloret, 2013. "Improved Short-Term Load Forecasting Based on Two-Stage Predictions with Artificial Neural Networks in a Microgrid Environment," Energies, MDPI, Open Access Journal, vol. 6(9), pages 1-19, August.
- José-Fernán Martínez & Jesús Rodríguez-Molina & Pedro Castillejo & Rubén de Diego, 2013. "Middleware Architectures for the Smart Grid: Survey and Challenges in the Foreseeable Future," Energies, MDPI, Open Access Journal, vol. 6(7), pages 1-29, July.
- Tao Hong & Katarzyna Maciejowska & Jakub Nowotarski & Rafal Weron, 2014. "Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts," HSC Research Reports HSC/14/10, Hugo Steinhaus Center, Wroclaw University of Technology.
- Fan, Shu & Hyndman, Rob J., 2011.
"The price elasticity of electricity demand in South Australia,"
Elsevier, vol. 39(6), pages 3709-3719, June.
- Shu Fan & Rob Hyndman, 2010. "The price elasticity of electricity demand in South Australia," Monash Econometrics and Business Statistics Working Papers 16/10, Monash University, Department of Econometrics and Business Statistics.
More about this item
KeywordsLong-term demand forecasting; density forecast; time series; simulation;
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2009-03-22 (All new papers)
- NEP-ECM-2009-03-22 (Econometrics)
- NEP-FOR-2009-03-22 (Forecasting)
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