Using fuzzy neural network to solve short-term load forecasting problems
dc.contributor.author | Birge, John R. | en_US |
dc.contributor.author | Li, Dayong | en_US |
dc.date.accessioned | 2006-02-03T18:17:59Z | |
dc.date.available | 2006-02-03T18:17:59Z | |
dc.date.issued | 1996 | en_US |
dc.identifier | UMR4745 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/3652 | |
dc.format.extent | 19 bytes | |
dc.format.extent | 35821 bytes | |
dc.format.extent | 3366 bytes | |
dc.format.extent | 40710 bytes | |
dc.format.extent | 1548165 bytes | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en_US |
dc.subject | Electric power-plants -- Load -- Mathematical models. | en_US |
dc.subject | Electric power-plants -- Load -- Forecasting. | en_US |
dc.subject | Neural networks (Computer science) | en_US |
dc.subject | Fuzzy systems. | en_US |
dc.title | Using fuzzy neural network to solve short-term load forecasting problems | en_US |
dc.type | Technical Report | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/3652/5/ban5832.0001.001.pdf | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/3652/4/ban5832.0001.001.txt | en_US |
dc.owningcollname | Engineering, College of - Technical Reports |
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