Symbolic and connectionist machine learning techniques for short-term electric load forecasting
This work applies connectionist neural network learning techniques and symbolic machine learning techniques to the problem of short-term electric load forecasting. The short-term electric load forecasting problem considered here is the prediction of bus loads one day ahead. The forecast quantities o...
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| Format: | Others |
| Language: | en |
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/44403 http://scholar.lib.vt.edu/theses/available/etd-08222009-040506/ |