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Forecasting the short-term demand for electricity: Do neural networks stand a better chance?

โœ Scribed by Georges A. Darbellay; Marek Slama


Book ID
114175134
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
205 KB
Volume
16
Category
Article
ISSN
0169-2070

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Forecasting the short-term demand for el
โœ Georges A. Darbellay; Marek Slama ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 205 KB

We address a problem faced by every supplier of electricity, i.e. forecasting the short-term electricity consumption. The introduction of new techniques has often been justified by invoking the nonlinearity of the problem. Our focus is directed to the question of deciding whether the problem is inde