Electric power demand forecasting using interval time series: A comparison between VAR and iMLP
By Carolina García-Ascanio, Carlos G. Maté. 2010
163 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/0f177107276fc1e018d53dccb44b435ec63c2cff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Antonio J. Sánchez-Esguevillas
- Jaime Lloret
- Belén Carro
- Rafal Weron
- Florian Ziel
- Jakub Nowotarski
- Bartosz Uniejewski
- Grzegorz Marcjasz
In Management Science and Operations Research
Citations in the corpus
- Electricity price forecasting: A review of the state-of-the-art with a look into the future (2014, background): “To the best of our knowledge, only Garcia-Ascanio and Mate (2010) and Jonsson, Pinson, Nielsen, Madsen, and Nielsen (2013) utilize absolute or squared scaled errors in the EPF context.”
- A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings (2014, methodology): “Garcı́a-Ascanio and Mate (2009) [82] propose a MLP model for STLF where data are previously arranged according to an analysis criterion.”
- Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa (2012, unknown): “13 See e.g., Abraham and Nath, 2001; Adams and Shachmurove, 2008; Basu et al., 1991; Ediger and Tatlidil, 2002; García-Ascanio and Maté, 2010; Pappas et al., 2008; Price and Sharp, 1985 and Ünler, 2008.”