Application of computation intelligence techniques for energy load and price forecast in some states of USA
The purpose of this paper is to forecast the load and price of electricity, 49 hours ahead. To accomplish these goals, computational intelligence techniques were used, specifically artificial neural networks and genetic algorithms. The neural networks employed are RBFs (Radial Basis Functions), full...
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| Format: | conferenceObject |
| Language: | eng |
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2013
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| Online Access: | http://hdl.handle.net/10400.1/2220 |
| Country: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2220 |